Package org.ojalgo.random
Class TDistribution.Degree5
java.lang.Object
org.ojalgo.random.RandomNumber
org.ojalgo.random.AbstractContinuous
org.ojalgo.random.TDistribution
org.ojalgo.random.TDistribution.Degree5
- All Implemented Interfaces:
Comparable<RandomNumber>
,DoubleSupplier
,Supplier<Double>
,BasicFunction
,NullaryFunction<Double>
,PrimitiveFunction.Nullary
,ContinuousDistribution
,Distribution
,AccessScalar<Double>
,ComparableNumber<RandomNumber>
,NumberDefinition
- Enclosing class:
TDistribution
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Nested Class Summary
Nested classes/interfaces inherited from class org.ojalgo.random.TDistribution
TDistribution.Degree1, TDistribution.Degree2, TDistribution.Degree3, TDistribution.Degree4, TDistribution.Degree5, TDistribution.DegreeInfinity
Nested classes/interfaces inherited from interface org.ojalgo.function.BasicFunction
BasicFunction.Differentiable<N extends Comparable<N>,
F extends BasicFunction>, BasicFunction.Integratable<N extends Comparable<N>, F extends BasicFunction>, BasicFunction.PlainUnary<T, R> -
Field Summary
Fields -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiondouble
getDensity
(double value) In probability theory, a probability density function (pdf), or density of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point.double
getDistribution
(double value) In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, describes the probability that a real-valued random variable X with a given probability distribution will be found at a value less than or equal to x.Methods inherited from class org.ojalgo.random.TDistribution
getExpected, getQuantile, getVariance, of, ofInfinity
Methods inherited from class org.ojalgo.random.AbstractContinuous
generate
Methods inherited from class org.ojalgo.random.RandomNumber
checkProbabilty, compareTo, doubleValue, floatValue, getStandardDeviation, intValue, invoke, longValue, newSampleSet, random, setRandom, setSeed, toString
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface org.ojalgo.random.ContinuousDistribution
getLowerConfidenceQuantile, getUpperConfidenceQuantile
Methods inherited from interface org.ojalgo.random.Distribution
getStandardDeviation
Methods inherited from interface org.ojalgo.function.NullaryFunction
andThen, get, getAsDouble
Methods inherited from interface org.ojalgo.type.NumberDefinition
booleanValue, byteValue, shortValue
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Field Details
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SQRT5
private static final double SQRT5
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Constructor Details
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Degree5
Degree5()
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Method Details
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getDensity
public double getDensity(double value) Description copied from interface:ContinuousDistribution
In probability theory, a probability density function (pdf), or density of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point. The probability for the random variable to fall within a particular region is given by the integral of this variable's density over the region. The probability density function is nonnegative everywhere, and its integral over the entire space is equal to one. WikipediA- Specified by:
getDensity
in interfaceContinuousDistribution
- Overrides:
getDensity
in classTDistribution
- Parameters:
value
- x- Returns:
- P(x)
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getDistribution
public double getDistribution(double value) Description copied from interface:ContinuousDistribution
In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, describes the probability that a real-valued random variable X with a given probability distribution will be found at a value less than or equal to x. Intuitively, it is the "area so far" function of the probability distribution. Cumulative distribution functions are also used to specify the distribution of multivariate random variables. WikipediA- Specified by:
getDistribution
in interfaceContinuousDistribution
- Overrides:
getDistribution
in classTDistribution
- Parameters:
value
- x- Returns:
- P(≤x)
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