Class ChiSquareDistribution.Degree2

java.lang.Object

org.ojalgo.random.RandomNumber

org.ojalgo.random.AbstractContinuous

org.ojalgo.random.ChiSquareDistribution

org.ojalgo.random.ChiSquareDistribution.Degree2

All Implemented Interfaces:

Comparable<RandomNumber>, DoubleSupplier, Supplier<Double>, BasicFunction, NullaryFunction<Double>, PrimitiveFunction.Nullary, ContinuousDistribution, Distribution, AccessScalar<Double>, ComparableNumber<RandomNumber>, NumberDefinition

Enclosing class:

ChiSquareDistribution

static final class ChiSquareDistribution.Degree2
extends ChiSquareDistribution

Nested Class Summary

Nested classes/interfaces inherited from class ChiSquareDistribution

ChiSquareDistribution.Degree2, ChiSquareDistribution.NormalApproximation

Nested classes/interfaces inherited from interface BasicFunction

BasicFunction.Differentiable<N,F>, BasicFunction.Integratable<N,F>, BasicFunction.PlainUnary<T,R>

Field Summary

Fields inherited from class ChiSquareDistribution

NORMAL

Constructor Summary

Constructors

Constructor	Description
Degree2()

Method Summary

Modifier and Type	Method	Description
(package private) double	calculateDensity(double value)
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 ChiSquareDistribution

getDensity, getExpected, getQuantile, getVariance, of

Methods inherited from class AbstractContinuous

generate

Methods inherited from class RandomNumber

checkProbabilty, compareTo, doubleValue, floatValue, getStandardDeviation, intValue, invoke, longValue, newSampleSet, random, setRandom, setSeed, toString

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface ContinuousDistribution

getLowerConfidenceQuantile, getUpperConfidenceQuantile

Methods inherited from interface Distribution

getStandardDeviation

Methods inherited from interface NullaryFunction

andThen, get, getAsDouble

Methods inherited from interface NumberDefinition

booleanValue, byteValue, shortValue

Constructor Details

Degree2

Degree2()

Method Details

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 interface ContinuousDistribution

Overrides:

getDistribution in class ChiSquareDistribution

Parameters:

value - x

Returns:

P(≤x)

calculateDensity

double calculateDensity(double value)

Overrides:

calculateDensity in class ChiSquareDistribution