Uses of Class
org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler

Packages that use MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler

Package	Description
org.apache.commons.rng.sampling.distribution	This package contains classes for sampling from statistical distributions.

Uses of MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler in org.apache.commons.rng.sampling.distribution

Subclasses of MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler in org.apache.commons.rng.sampling.distribution

Modifier and Type	Class	Description
private static class	MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangFixedResultBinomialSampler	Return a fixed result for the Binomial distribution.
private static class	MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler	Return an inversion result for the Binomial distribution.
private static class	MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int16DiscreteSampler	An implementation for the sample algorithm based on the decomposition of the index in the range [0,2^30) into 5 base-64 digits with 16-bit backing storage.
private static class	MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler	An implementation for the sample algorithm based on the decomposition of the index in the range [0,2^30) into 5 base-64 digits with 32-bit backing storage.
private static class	MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int8DiscreteSampler	An implementation for the sample algorithm based on the decomposition of the index in the range [0,2^30) into 5 base-64 digits with 8-bit backing storage.

Constructors in org.apache.commons.rng.sampling.distribution with parameters of type MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler

Constructor	Description
AbstractMarsagliaTsangWangDiscreteSampler(UniformRandomProvider rng, MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler source)