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

static final class TDistribution.Degree5
extends TDistribution

Nested Class Summary

Nested classes/interfaces inherited from class TDistribution

TDistribution.Degree1, TDistribution.Degree2, TDistribution.Degree3, TDistribution.Degree4, TDistribution.Degree5, TDistribution.DegreeInfinity

Nested classes/interfaces inherited from interface BasicFunction

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

Field Summary

Fields

Modifier and Type	Field	Description
private static final double	SQRT5

Constructor Summary

Constructors

Constructor	Description
Degree5()

Method Summary

Modifier and Type	Method	Description
double	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 TDistribution

getExpected, getQuantile, getVariance, of, ofInfinity

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

Field Details

SQRT5

private static final double SQRT5

Constructor Details

Degree5

Degree5()

Method Details

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 interface ContinuousDistribution

Overrides:

getDensity in class TDistribution

Parameters:

value - x

Returns:

P(x)

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 TDistribution

Parameters:

value - x

Returns:

P(≤x)