Index

A B C D E F G H I L M N O P Q R S T U V W X Z 
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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 assuming a+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 returns P(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), where p 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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, where p is the probability of success and n 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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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, where p is the probability of success and n 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 of x and y 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 of double sample values.
samples(long) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler
Returns a stream producing the given streamSize number of int 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
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 of x 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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 and c == 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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