Package org.apache.commons.rng.sampling.distribution

Class ChengBetaSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.SamplerBase

org.apache.commons.rng.sampling.distribution.ChengBetaSampler

All Implemented Interfaces:

ContinuousSampler

public class ChengBetaSampler
extends SamplerBase
implements ContinuousSampler

Utility class implementing Cheng's algorithms for beta distribution sampling.

 R. C. H. Cheng,
 "Generating beta variates with nonintegral shape parameters",
 Communications of the ACM, 21, 317-322, 1978.
 

Since:

1.0

Constructor Summary

Constructors

Constructor	Description
ChengBetaSampler(org.apache.commons.rng.UniformRandomProvider rng, double alpha, double beta)	Creates a sampler instance.

Method Summary

Modifier and Type	Method	Description
double	sample()	Creates a sample.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from class org.apache.commons.rng.sampling.distribution.SamplerBase

nextDouble, nextInt, nextInt, nextLong

Constructor Detail

ChengBetaSampler

public ChengBetaSampler(org.apache.commons.rng.UniformRandomProvider rng,
                        double alpha,
                        double beta)

Creates a sampler instance.

Parameters:

rng - Generator of uniformly distributed random numbers.

alpha - Distribution first shape parameter.

beta - Distribution second shape parameter.

Method Detail

sample

public double sample()

Creates a sample.

Specified by:

sample in interface ContinuousSampler

Returns:

a sample.

toString

public java.lang.String toString()

Overrides:

toString in class SamplerBase