Index
All Classes and Interfaces|All Packages|Constant Field Values
A
- a - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Lower limit of this distribution (inclusive).
- a - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Lower limit of this distribution (inclusive).
- AbstractContinuousDistribution - Class in org.apache.commons.statistics.distribution
-
Base class for probability distributions on the reals.
- AbstractContinuousDistribution() - Constructor for class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
- AbstractDiscreteDistribution - Class in org.apache.commons.statistics.distribution
-
Base class for integer-valued discrete distributions.
- AbstractDiscreteDistribution() - Constructor for class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
- alpha - Variable in class org.apache.commons.statistics.distribution.BetaDistribution
-
First shape parameter.
- ArgumentUtils - Class in org.apache.commons.statistics.distribution
-
Utilities for argument validation.
- ArgumentUtils() - Constructor for class org.apache.commons.statistics.distribution.ArgumentUtils
-
No instances.
B
- b - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Start of the trapezoid constant density.
- b - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Upper limit of this distribution (inclusive).
- beta - Variable in class org.apache.commons.statistics.distribution.BetaDistribution
-
Second shape parameter.
- beta - Variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Scale parameter.
- beta - Variable in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
The scale parameter.
- BetaDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the beta distribution.
- BetaDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.BetaDistribution
- BIG - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Threshold for a big number that may overflow when squared.
- BinomialDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the binomial distribution.
- BinomialDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.BinomialDistribution
- bma - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Cached value (b - a).
C
- c - Variable in class org.apache.commons.statistics.distribution.LevyDistribution
-
Scale parameter.
- c - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
End of the trapezoid constant density.
- c - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Mode of this distribution.
- CauchyDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Cauchy distribution.
- CauchyDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.CauchyDistribution
- cdf(double) - Static method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Compute the CDF of the Cauchy distribution with location 0 and scale 1.
- cdfAlpha - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Stored value of
parentNormal.cumulativeProbability(lower)
. - cdfB - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Cumulative probability at b.
- cdfC - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Cumulative probability at c.
- cdfDelta - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Stored value of
parentNormal.probability(lower, upper)
. - cdfMode - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Cumulative probability at the mode.
- checkProbability(double) - Static method in class org.apache.commons.statistics.distribution.ArgumentUtils
-
Check the probability
p
is in the interval[0, 1]
. - ChiSquaredDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the chi-squared distribution.
- ChiSquaredDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.ChiSquaredDistribution
- clip(double, double, double) - Static method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Clip the value to the range [lower, upper].
- clipToRange(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Clip the value to the range [lower, upper].
- CLOSE_TO_ZERO - Static variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
The threshold for the density function where the power function base minus 1 is close to zero.
- computeDensity(double, boolean) - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Compute the density at point x.
- computeLogProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Compute the log probability.
- computeSqrt2aa(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute
sqrt(2 * a * a)
. - computeVariance(double) - Static method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- computeXsqrt2pi(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute
a * sqrt(2 * pi)
. - ContinuousDistribution - Interface in org.apache.commons.statistics.distribution
-
Interface for distributions on the reals.
- ContinuousDistribution.Sampler - Interface in org.apache.commons.statistics.distribution
-
Distribution sampling functionality.
- createFiniteLowerBound(double, double, boolean, double, double, double, boolean) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Create a finite lower bound.
- createFiniteUpperBound(double, double, boolean, double, double, double, boolean) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Create a finite upper bound.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Creates a sampler.
- createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Creates a sampler.
- cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.FDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
.
D
- d - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Upper limit of this distribution (inclusive).
- degreesOfFreedom - Variable in class org.apache.commons.statistics.distribution.TDistribution
-
The degrees of freedom.
- delegate - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
-
Distribution delegate.
- DelegatedTrapezoidalDistribution(double, double, double, double, ContinuousDistribution) - Constructor for class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- denominatorDegreesOfFreedom - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
The denominator degrees of freedom.
- density(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- density(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- density(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- density(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- density(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - densityNormalisation - Variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
Density normalisation factor, sqrt(v) * beta(1/2, v/2), where v = degrees of freedom.
- densityPrefactor - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Density prefactor.
- DiscreteDistribution - Interface in org.apache.commons.statistics.distribution
-
Interface for distributions on the integers.
- DiscreteDistribution.Sampler - Interface in org.apache.commons.statistics.distribution
-
Distribution sampling functionality.
- DistributionException - Exception Class in org.apache.commons.statistics.distribution
-
Package private exception class with constants for frequently used messages.
- DistributionException(String, Object...) - Constructor for exception class org.apache.commons.statistics.distribution.DistributionException
-
Creates an exception.
- divisor - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Cached value (d + c - a - b).
- divisor1 - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Cached value ((b - a) * (c - a).
- divisor2 - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Cached value ((b - a) * (b - c)).
- dmc - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Cached value (d - c).
E
- EULER - Static variable in class org.apache.commons.statistics.distribution.GumbelDistribution
- EXACT_STIRLING_ERRORS - Static variable in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
Exact Stirling expansion error for certain values.
- EXP_M_HALF_XX_MAX_VALUE - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Approximate x squared value where
exp(-0.5*x*x) == 0
. - EXP_M_HALF_XX_MIN_VALUE - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
X squared value where
exp(-0.5*x*x)
cannot increase accuracy using the round-off from x squared. - expmhxx(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute
exp(-0.5*x*x)
with high accuracy. - exponent - Variable in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Exponent parameter of the distribution.
- ExponentialDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the exponential distribution.
- ExponentialDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.ExponentialDistribution
- expxx(double, double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute
exp(a+b)
with high accuracy assuminga+b = a
. - ExtendedPrecision - Class in org.apache.commons.statistics.distribution
-
Computes extended precision floating-point operations.
- ExtendedPrecision() - Constructor for class org.apache.commons.statistics.distribution.ExtendedPrecision
-
No instances.
F
- FDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the F-distribution.
- FDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.FDistribution
G
- gamma - Variable in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Internal Gamma distribution.
- GammaDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the gamma distribution.
- GammaDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.GammaDistribution
- generalizedHarmonic(int, double) - Static method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Calculates the Nth generalized harmonic number.
- generalizedHarmonicAscendingSum(int, double) - Static method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Calculates the Nth generalized harmonic number.
- GeometricDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the geometric distribution.
- GeometricDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.GeometricDistribution
- getAlpha() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the first shape parameter of this distribution.
- getB() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the start of the constant region of the density function.
- getBeta() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the second shape parameter of this distribution.
- getC() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the end of the constant region of the density function.
- getDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Gets the degrees of freedom parameter of this distribution.
- getDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Gets the degrees of freedom parameter of this distribution.
- getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the denominator degrees of freedom parameter of this distribution.
- getDeviancePart(int, double) - Static method in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
A part of the deviance portion of the saddle point approximation.
- getExponent() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the exponent parameter of this distribution.
- getLocation() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the location parameter of this distribution.
- getLocation() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the location parameter of this distribution.
- getLocation() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the location parameter of this distribution.
- getLocation() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the location parameter of this distribution.
- getLocation() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the location parameter of this distribution.
- getLowerDomain(int, int, int) - Static method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Return the lowest domain value for the given hypergeometric distribution parameters.
- getMean() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Gets the mean of this distribution.
- getMean() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Gets the mean of this distribution.
- getMean() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- getMean() - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- getMean() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- getMean() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- getMean() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the mean of this distribution.
- getMean() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the mean of this distribution.
- getMedian() - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the median.
- getMedian() - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- getMode() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Gets the mode parameter of this distribution.
- getMu() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the
mu
parameter of this distribution. - getNumberOfElements() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the number of elements parameter of this distribution.
- getNumberOfSuccesses() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the number of successes parameter of this distribution.
- getNumberOfSuccesses() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the number of successes parameter of this distribution.
- getNumberOfTrials() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the number of trials parameter of this distribution.
- getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the numerator degrees of freedom parameter of this distribution.
- getPopulationSize() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the population size parameter of this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the probability of success parameter of this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Gets the probability of success parameter of this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the probability of success parameter of this distribution.
- getSampleSize() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the sample size parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the scale parameter of this distribution.
- getShape() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the shape parameter of this distribution.
- getSigma() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the
sigma
parameter of this distribution. - getStandardDeviation() - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Gets the standard deviation parameter of this distribution.
- getStirlingError(int) - Static method in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
Compute the error of Stirling's series at the given value.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the lower bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the upper bound of the support.
- getUpperDomain(int, int) - Static method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Return the highest domain value for the given hypergeometric distribution parameters.
- getVariance() - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- getVariance() - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- getVariance() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- getVariance() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- getVariance() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Gets the variance of this distribution.
- getVariance() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Gets the variance of this distribution.
- GumbelDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Gumbel distribution.
- GumbelDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.GumbelDistribution
H
- HALF - Static variable in class org.apache.commons.statistics.distribution.BinomialDistribution
-
1/2.
- HALF - Static variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
1/2.
- HALF_LOG_TWO_PI - Static variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
0.5 * ln(2 * pi).
- HALF_LOG_TWO_PI - Static variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
0.5 * ln(2 * pi).
- HALF_LOG_TWO_PI - Static variable in class org.apache.commons.statistics.distribution.PoissonDistribution
-
0.5 * ln(2 * pi).
- HALF_OVER_ERFCINV_HALF_SQUARED - Static variable in class org.apache.commons.statistics.distribution.LevyDistribution
-
1 / 2(erfc^-1 (0.5))^2.
- halfC - Variable in class org.apache.commons.statistics.distribution.LevyDistribution
-
Half of c (for calculations).
- highPartUnscaled(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Implement Dekker's method to split a value into two parts.
- HypergeometricDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the hypergeometric distribution.
- HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.statistics.distribution.HypergeometricDistribution
I
- innerCumulativeProbability(int, int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
For this distribution,
X
, this method returnsP(x0 <= X <= x1)
. - INVALID_NON_ZERO_PROBABILITY - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "invalid non-zero probability" condition when "x not in (0, 1]".
- INVALID_PROBABILITY - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "invalid probability" condition when "x not in [0, 1]".
- INVALID_RANGE_LOW_GT_HIGH - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "invalid range" condition when "lower > upper".
- INVALID_RANGE_LOW_GTE_HIGH - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "invalid range" condition when "lower >= upper".
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Computes the quantile function of this distribution.
- inverseProbability(double, double, boolean) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Implementation for the inverse cumulative or survival probability.
- inverseProbability(double, double, boolean) - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Implementation for the inverse cumulative or survival probability.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Computes the inverse survival probability function of this distribution.
- inverseSurvivalProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Computes the inverse survival probability function of this distribution.
- InvertedRNG(UniformRandomProvider) - Constructor for class org.apache.commons.statistics.distribution.ParetoDistribution.InvertedRNG
- isFiniteStrictlyPositive(double) - Static method in class org.apache.commons.statistics.distribution.ArgumentUtils
-
Checks if the value
x
is finite and strictly positive. - isSupportConnected() - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Indicates whether the support is connected, i.e.
L
- LaplaceDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Laplace distribution.
- LaplaceDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LaplaceDistribution
- LevyDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Lévy distribution.
- LevyDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LevyDistribution
- LN_2 - Static variable in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
ln(2).
- LN_2 - Static variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Natural logarithm of 2.
- LN_LN_2 - Static variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
ln(ln(2)).
- location - Variable in class org.apache.commons.statistics.distribution.CauchyDistribution
-
The location of this distribution.
- log1mProbabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
log(1 - p)
where p is the probability of success. - log1mProbabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.PascalDistribution
-
The value of
log(1-p)
, wherep
is the probability of success, stored for faster computation. - log2beta - Variable in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
log(2 * beta).
- logBeta - Variable in class org.apache.commons.statistics.distribution.BetaDistribution
-
Normalizing factor used in log density computations.
- logBetaNhalfMhalf - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
LogBeta(n/2, n/2) with n = numerator DF.
- logBinomialProbability(int, int, double, double) - Static method in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.
- logCdfDelta - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
log(cdfDelta).
- logDensity(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.FDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- logDensity(double) - Method in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- logDensity(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- logDensity(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensityNormalisation - Variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
Log density normalisation term, 0.5 * log(v) + log(beta(1/2, v/2)), where v = degrees of freedom.
- logDensityPrefactor - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Log density prefactor.
- LogisticDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the logistic distribution.
- LogisticDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LogisticDistribution
- logMean - Variable in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
The logarithm of the mean, stored to reduce computing time.
- LogNormalDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the log-normal distribution.
- LogNormalDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LogNormalDistribution
- logNthHarmonic - Variable in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Cached value of the log of the nth generalized harmonic.
- logpdf - Variable in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Implementation of log PDF(x).
- logPdf - Variable in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Cache of the log density.
- logPmf - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Cache of the log probability.
- logProbability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
log(p)
where p is the probability of success. - logProbabilityOfSuccessByNumOfSuccesses - Variable in class org.apache.commons.statistics.distribution.PascalDistribution
-
The value of
log(p) * n
, wherep
is the probability of success andn
is the number of successes, stored for faster computation. - logScale - Variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Logarithm of "scale".
- logShapeOverScale - Variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
log(shape / scale).
- logSigmaPlusHalfLog2Pi - Variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
The value of
log(sigma) + 0.5 * log(2*PI)
stored for faster computation. - logStandardDeviationPlusHalfLog2Pi - Variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
The value of
log(sd) + 0.5*log(2*pi)
stored for faster computation. - lower - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Lower bound of this distribution.
- lower - Variable in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Lower bound of this distribution (inclusive).
- lower - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Lower bound (inclusive) of this distribution.
- lowerBound - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
The lower bound of the support (inclusive).
M
- MAX_MEAN - Static variable in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Upper bound on the mean to use the PoissonSampler.
- MAX_X - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
The max allowed value for x where (x*x) will not overflow.
- mean - Variable in class org.apache.commons.statistics.distribution.BetaDistribution
-
Cached value for inverse probability function.
- mean - Variable in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
The mean of this distribution.
- mean - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
Cached value for inverse probability function.
- mean - Variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
Cached value for inverse probability function.
- mean - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Cached value for inverse probability function.
- mean - Variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
Mean of this distribution.
- mean - Variable in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Mean of the distribution.
- mean - Variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
Cached value for inverse probability function.
- median - Variable in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Cached value of the median.
- median - Variable in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Cached value of the median.
- MIN_DENOMINATOR_DF_FOR_MEAN - Static variable in class org.apache.commons.statistics.distribution.FDistribution
-
The minimum degrees of freedom for the denominator when computing the mean.
- MIN_DENOMINATOR_DF_FOR_VARIANCE - Static variable in class org.apache.commons.statistics.distribution.FDistribution
-
The minimum degrees of freedom for the denominator when computing the variance.
- MIN_P - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
The min allowed probability range of the parent normal distribution.
- MIN_SHAPE_FOR_VARIANCE - Static variable in class org.apache.commons.statistics.distribution.ParetoDistribution
-
The minimum value for the shape parameter when computing when computing the variance.
- minusLogGammaShapeMinusLogScale - Variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
Precomputed term for the log density:
-log(gamma(shape)) - log(scale)
. - moment1(double, double) - Static method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Compute the first moment (mean) of the truncated standard normal distribution.
- moment2(double, double) - Static method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Compute the second moment of the truncated standard normal distribution.
- mu - Variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Location parameter.
- mu - Variable in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
The location parameter.
- mu - Variable in class org.apache.commons.statistics.distribution.LevyDistribution
-
Location parameter.
- mu - Variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Location parameter.
- mu - Variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
The mu parameter of this distribution.
- mu - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
The shape parameter.
- MULTIPLIER - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
The multiplier used to split the double value into high and low parts.
- mvp1Over2 - Variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
-(v + 1) / 2, where v = degrees of freedom.
N
- NakagamiDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Nakagami distribution.
- NakagamiDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.NakagamiDistribution
- NEGATIVE - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "negative" condition when "x invalid input: '<' 0".
- nextDouble() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution.InvertedRNG
- nextLong() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution.InvertedRNG
- nHalfLogNmHalfLogM - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
n/2 * log(n) + m/2 * log(m) with n = numerator DF and m = denominator DF.
- NO_MEDIAN - Static variable in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
Marker value for no median.
- nonCentralMoment(int, double, double) - Static method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Compute the
k
-th non-central moment of the standardized trapezoidal distribution. - NormalDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the normal (Gaussian) distribution.
- NormalDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.NormalDistribution
- NormalTDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- NOT_STRICTLY_POSITIVE - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "not strictly positive" condition when "x invalid input: '<'= 0".
- NOT_STRICTLY_POSITIVE_FINITE - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "not strictly positive" condition when "x invalid input: '<'= 0".
- nthHarmonic - Variable in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Cached value of the nth generalized harmonic.
- numberOfElements - Variable in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Number of elements.
- numberOfSuccesses - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
The number of successes in the population.
- numberOfSuccesses - Variable in class org.apache.commons.statistics.distribution.PascalDistribution
-
The number of successes.
- numberOfTrials - Variable in class org.apache.commons.statistics.distribution.BinomialDistribution
-
The number of trials.
- numeratorDegreesOfFreedom - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
The numerator degrees of freedom.
O
- of(double) - Static method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
Creates a chi-squared distribution.
- of(double) - Static method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Creates an exponential distribution.
- of(double) - Static method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Creates a geometric distribution.
- of(double) - Static method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
Creates a Poisson distribution.
- of(double) - Static method in class org.apache.commons.statistics.distribution.TDistribution
-
Creates a Student's t-distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.BetaDistribution
-
Creates a beta distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Creates a Cauchy distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.FDistribution
-
Creates an F-distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.GammaDistribution
-
Creates a gamma distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Creates a Gumbel distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
Creates a Laplace distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.LevyDistribution
-
Creates a Levy distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Creates a logistic distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Creates a log-normal distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Creates a Nakagami distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.NormalDistribution
-
Creates a normal distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Creates a Pareto distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Creates a uniform continuous distribution.
- of(double, double) - Static method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Creates a Weibull distribution.
- of(double, double, double) - Static method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Creates a triangular distribution.
- of(double, double, double, double) - Static method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution
-
Creates a trapezoidal distribution.
- of(double, double, double, double) - Static method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Creates a truncated normal distribution.
- of(int, double) - Static method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Creates a binomial distribution.
- of(int, double) - Static method in class org.apache.commons.statistics.distribution.PascalDistribution
-
Create a Pascal distribution.
- of(int, double) - Static method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
Creates a Zipf distribution.
- of(int, int) - Static method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Creates a new uniform discrete distribution.
- of(int, int, int) - Static method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Creates a hypergeometric distribution.
- omega - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
The scale parameter.
- ONE_TENTH - Static variable in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
1/10.
- org.apache.commons.statistics.distribution - package org.apache.commons.statistics.distribution
-
Implementations of common discrete and continuous probability distributions.
- OUT_OF_RANGE - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "out of range" condition when "x not in [a, b]".
P
- p - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Binomial probability of success (sampleSize / populationSize).
- parentNormal - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Parent normal distribution.
- ParetoDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Pareto (Type I) distribution.
- ParetoDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.ParetoDistribution
- ParetoDistribution.InvertedRNG - Class in org.apache.commons.statistics.distribution
-
Create a RNG that inverts the output from nextDouble() as (1 - nextDouble()).
- PascalDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Pascal distribution.
- PascalDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.PascalDistribution
- pdf - Variable in class org.apache.commons.statistics.distribution.ParetoDistribution
-
Implementation of PDF(x).
- pdf - Variable in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Cache of the density.
- PI_SQUARED_OVER_SIX - Static variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
π2/6.
- PI_SQUARED_OVER_THREE - Static variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
π2/3.
- pmf - Variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Implementation of PMF(x).
- pmf - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Cache of the probability.
- pmf0 - Variable in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Cached value for pmf(x=0).
- pmfn - Variable in class org.apache.commons.statistics.distribution.BinomialDistribution
-
Cached value for pmf(x=n).
- PoissonDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Poisson distribution.
- PoissonDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.PoissonDistribution
- populationSize - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
The population size.
- probability(double, double) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.statistics.distribution.TDistribution.NormalTDistribution
- probability(double, double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- probability(double, double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int, int) - Method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(int, int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(int, int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.BinomialDistribution
-
The probability of success.
- probabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
The probability of success.
- probabilityOfSuccess - Variable in class org.apache.commons.statistics.distribution.PascalDistribution
-
The probability of success.
- probabilityOfSuccessPowNumOfSuccesses - Variable in class org.apache.commons.statistics.distribution.PascalDistribution
-
The value of
p^n
, wherep
is the probability of success andn
is the number of successes, stored for faster computation. - productLow(double, double, double, double, double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute the low part of the double length number
(z,zz)
for the exact product ofx
andy
using Dekker's mult12 algorithm.
Q
- q - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
Binomial probability of failure ((populationSize - sampleSize) / populationSize).
R
- RegularTrapezoidalDistribution(double, double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- REJECTION_THRESHOLD - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
The threshold to switch to a rejection sampler.
- rng - Variable in class org.apache.commons.statistics.distribution.ParetoDistribution.InvertedRNG
-
Source of randomness.
- ROOT_2_PI - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Normalisation constant 2 / sqrt(2 pi) = sqrt(2 / pi).
- ROOT_PI_2 - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Normalisation constant sqrt(2 pi) / 2 = sqrt(pi / 2).
- ROOT2 - Static variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
sqrt(2).
S
- SaddlePointExpansionUtils - Class in org.apache.commons.statistics.distribution
-
Utility class used by various distributions to accurately compute their respective probability mass functions.
- SaddlePointExpansionUtils() - Constructor for class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
Forbid construction.
- sample() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution.Sampler
-
Generates a random value sampled from this distribution.
- sample() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler
-
Generates a random value sampled from this distribution.
- samples() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution.Sampler
-
Returns an effectively unlimited stream of
double
sample values. - samples() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler
-
Returns an effectively unlimited stream of
int
sample values. - samples(long) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution.Sampler
-
Returns a stream producing the given
streamSize
number ofdouble
sample values. - samples(long) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler
-
Returns a stream producing the given
streamSize
number ofint
sample values. - sampleSize - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
The sample size.
- scale - Variable in class org.apache.commons.statistics.distribution.CauchyDistribution
-
The scale of this distribution.
- scale - Variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
The scale parameter.
- scale - Variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Scale parameter.
- scale - Variable in class org.apache.commons.statistics.distribution.ParetoDistribution
-
The scale parameter of this distribution.
- scale - Variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
The scale parameter.
- SCALE_DOWN - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Scale down by 2^600.
- SCALE_UP - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Scale up by 2^600.
- scale2 - Variable in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Density factor (scale^2).
- scaleOverPi - Variable in class org.apache.commons.statistics.distribution.CauchyDistribution
-
Density factor (scale / pi).
- sdSqrt2 - Variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
Standard deviation multiplied by sqrt(2).
- sdSqrt2pi - Variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
Standard deviation multiplied by sqrt(2 pi).
- searchPlateau(boolean, double, double) - Method in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
Test the probability function for a plateau at the point x.
- serialVersionUID - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Serializable version identifier.
- sf0 - Variable in class org.apache.commons.statistics.distribution.GeometricDistribution
-
Value of survival probability for x=0.
- sf0 - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Value of survival probability for x=0.
- sfB - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Survival probability at b.
- sfBeta - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Stored value of
parentNormal.survivalProbability(upper)
. - sfC - Variable in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
-
Survival probability at c.
- sfMode - Variable in class org.apache.commons.statistics.distribution.TriangularDistribution
-
Survival probability at the mode.
- shape - Variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
The shape parameter.
- shape - Variable in class org.apache.commons.statistics.distribution.ParetoDistribution
-
The shape parameter of this distribution.
- shape - Variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
The shape parameter.
- shapeOverScale - Variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
shape / scale.
- sigma - Variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
The sigma parameter of this distribution.
- sigmaSqrt2 - Variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Sigma multiplied by sqrt(2).
- sigmaSqrt2Pi - Variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
Sigma multiplied by sqrt(2 * pi).
- SMALL - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Threshold for a small number that may underflow when squared.
- solveInverseProbability(IntUnaryOperator, int, int) - Static method in class org.apache.commons.statistics.distribution.AbstractDiscreteDistribution
-
This is a utility function used by
AbstractDiscreteDistribution.inverseProbability(double, double, boolean)
. - SOLVER_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
BrentSolver absolute accuracy.
- SOLVER_FUNCTION_VALUE_ACCURACY - Static variable in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
BrentSolver function value accuracy.
- SOLVER_RELATIVE_ACCURACY - Static variable in class org.apache.commons.statistics.distribution.AbstractContinuousDistribution
-
BrentSolver relative accuracy.
- SQRT2PI - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
sqrt(2 pi) as a double.
- SQRT2PI - Static variable in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
√(2 π).
- SQRT2PI_H - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Upper bits of sqrt(2 pi).
- SQRT2PI_L - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Lower bits of sqrt(2 pi).
- SQRT2PI_R - Static variable in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Round-off from sqrt(2 pi) as a double.
- sqrt2xx(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute
sqrt(2 * x * x)
. - squareLow(double, double, double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Compute the low part of the double length number
(z,zz)
for the exact square ofx
using Dekker's mult12 algorithm. - STANDARD_NORMAL - Static variable in class org.apache.commons.statistics.distribution.TDistribution
-
A standard normal distribution used for calculations.
- standardDeviation - Variable in class org.apache.commons.statistics.distribution.NormalDistribution
-
Standard deviation of this distribution.
- STIRLING_ERROR_THRESHOLD - Static variable in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
The threshold value for switching the method to compute th Stirling error.
- StudentsTDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.FDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Support upper bound.
- SUPPORT_HI - Static variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Support upper bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.FDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.GumbelDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.LogisticDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Support lower bound.
- SUPPORT_LO - Static variable in class org.apache.commons.statistics.distribution.WeibullDistribution
-
Support lower bound.
- survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.FDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.DelegatedTrapezoidalDistribution
- survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TrapezoidalDistribution.RegularTrapezoidalDistribution
- survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
. - survivalProbability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X > x)
.
T
- TDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of Student's t-distribution.
- TDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.TDistribution
- TDistribution.NormalTDistribution - Class in org.apache.commons.statistics.distribution
-
Specialisation of the T-distribution used when there are infinite degrees of freedom.
- TDistribution.StudentsTDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of Student's T-distribution.
- TOO_LARGE - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "too large" condition when "x > y".
- TOO_SMALL - Static variable in exception class org.apache.commons.statistics.distribution.DistributionException
-
Error message for "too small" condition when "x invalid input: '<' y".
- TrapezoidalDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the trapezoidal distribution.
- TrapezoidalDistribution(double, double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TrapezoidalDistribution
- TrapezoidalDistribution.DelegatedTrapezoidalDistribution - Class in org.apache.commons.statistics.distribution
-
Specialisation of the trapezoidal distribution used when the distribution simplifies to an alternative distribution.
- TrapezoidalDistribution.RegularTrapezoidalDistribution - Class in org.apache.commons.statistics.distribution
-
Regular implementation of the trapezoidal distribution.
- TrapezoidalDistribution.TriangularTrapezoidalDistribution - Class in org.apache.commons.statistics.distribution
-
Specialisation of the trapezoidal distribution used when
b == c
. - TrapezoidalDistribution.UniformTrapezoidalDistribution - Class in org.apache.commons.statistics.distribution
-
Specialisation of the trapezoidal distribution used when
a == b
andc == d
. - TriangularDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the triangular distribution.
- TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TriangularDistribution
- TriangularTrapezoidalDistribution(double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TrapezoidalDistribution.TriangularTrapezoidalDistribution
- TruncatedNormalDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the truncated normal distribution.
- TruncatedNormalDistribution(NormalDistribution, double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
- TWO - Static variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
2.
- TWO_PI - Static variable in class org.apache.commons.statistics.distribution.SaddlePointExpansionUtils
-
2 π.
U
- UniformContinuousDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the uniform distribution.
- UniformContinuousDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.UniformContinuousDistribution
- UniformDiscreteDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the uniform discrete distribution.
- UniformDiscreteDistribution(int, int) - Constructor for class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
- UniformTrapezoidalDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.TrapezoidalDistribution.UniformTrapezoidalDistribution
- upper - Variable in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Upper bound of this distribution.
- upper - Variable in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Upper bound of this distribution (exclusive).
- upper - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
Upper bound (inclusive) of this distribution.
- upperBound - Variable in class org.apache.commons.statistics.distribution.HypergeometricDistribution
-
The upper bound of the support (inclusive).
- upperMinusLower - Variable in class org.apache.commons.statistics.distribution.UniformContinuousDistribution
-
Range between the upper and lower bound of this distribution (cached for computations).
- upperMinusLowerPlus1 - Variable in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution
-
"upper" - "lower" + 1 (as a double to avoid overflow).
V
- variance - Variable in class org.apache.commons.statistics.distribution.BetaDistribution
-
Cached value for inverse probability function.
- variance - Variable in class org.apache.commons.statistics.distribution.FDistribution
-
Cached value for inverse probability function.
- variance - Variable in class org.apache.commons.statistics.distribution.GammaDistribution
-
Cached value for inverse probability function.
- variance - Variable in class org.apache.commons.statistics.distribution.NakagamiDistribution
-
Cached value for inverse probability function.
- variance - Variable in class org.apache.commons.statistics.distribution.TDistribution.StudentsTDistribution
-
Cached value for inverse probability function.
- variance(double, double) - Static method in class org.apache.commons.statistics.distribution.TruncatedNormalDistribution
-
Compute the variance of the truncated standard normal distribution.
W
- WeibullDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Weibull distribution.
- WeibullDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.WeibullDistribution
X
- xsqrt2pi(double) - Static method in class org.apache.commons.statistics.distribution.ExtendedPrecision
-
Multiply the term by sqrt(2 pi).
Z
- ZipfDistribution - Class in org.apache.commons.statistics.distribution
-
Implementation of the Zipf distribution.
- ZipfDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.ZipfDistribution
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