de.lmu.ifi.dbs.elki.math.statistics.distribution

Class AbstractDistribution

java.lang.Object

de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution

All Implemented Interfaces:

Distribution

Direct Known Subclasses:

BetaDistribution, CauchyDistribution, ChiDistribution, ExpGammaDistribution, ExponentialDistribution, ExponentiallyModifiedGaussianDistribution, GammaDistribution, GeneralizedExtremeValueDistribution, GeneralizedLogisticAlternateDistribution, GeneralizedLogisticDistribution, GeneralizedParetoDistribution, GumbelDistribution, InverseGaussianDistribution, KappaDistribution, LaplaceDistribution, LogGammaDistribution, LogisticDistribution, LogLogisticDistribution, LogNormalDistribution, NormalDistribution, PoissonDistribution, RayleighDistribution, SkewGeneralizedNormalDistribution, StudentsTDistribution, UniformDistribution, WeibullDistribution

public abstract class AbstractDistribution
extends java.lang.Object
implements Distribution

Abstract base class for distributions.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractDistribution.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.Random	random Random source.

Constructor Summary

Constructors

Constructor and Description
AbstractDistribution(java.util.Random rnd) Constructor.
AbstractDistribution(RandomFactory rnd) Constructor.

Method Summary

Modifier and Type	Method and Description
double	nextRandom() Generate a new random value

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution

cdf, logpdf, pdf, quantile, toString

Field Detail

random

protected final java.util.Random random

Random source.

Constructor Detail

AbstractDistribution

public AbstractDistribution(RandomFactory rnd)

Constructor.

Parameters:

rnd - Random source

AbstractDistribution

public AbstractDistribution(java.util.Random rnd)

Constructor.

Parameters:

rnd - Random source

Method Detail

nextRandom

public double nextRandom()

Description copied from interface: Distribution

Generate a new random value

Specified by:

nextRandom in interface Distribution

Returns:

new random value