Class MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
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- org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler
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- All Implemented Interfaces:
DiscreteSampler
,SharedStateDiscreteSampler
,SharedStateSampler<SharedStateDiscreteSampler>
- Enclosing class:
- MarsagliaTsangWangDiscreteSampler.Binomial
private static final class MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler extends MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
Return an inversion result for the Binomial distribution. This assumes the following:Binomial(n, p) = 1 - Binomial(n, 1 - p)
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Field Summary
Fields Modifier and Type Field Description private SharedStateDiscreteSampler
sampler
The Binomial distribution sampler.private int
trials
The number of trials.-
Fields inherited from class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
rng
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Constructor Summary
Constructors Constructor Description MarsagliaTsangWangInversionBinomialSampler(int trials, SharedStateDiscreteSampler sampler)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description int
sample()
Creates anint
sample.java.lang.String
toString()
SharedStateDiscreteSampler
withUniformRandomProvider(UniformRandomProvider rng)
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.-
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.apache.commons.rng.sampling.distribution.DiscreteSampler
samples, samples
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Field Detail
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trials
private final int trials
The number of trials.
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sampler
private final SharedStateDiscreteSampler sampler
The Binomial distribution sampler.
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Constructor Detail
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MarsagliaTsangWangInversionBinomialSampler
MarsagliaTsangWangInversionBinomialSampler(int trials, SharedStateDiscreteSampler sampler)
- Parameters:
trials
- Number of trials.sampler
- Binomial distribution sampler.
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Method Detail
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sample
public int sample()
Description copied from interface:DiscreteSampler
Creates anint
sample.- Returns:
- a sample.
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toString
public java.lang.String toString()
Description copied from class:MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
- Overrides:
toString
in classMarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
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withUniformRandomProvider
public SharedStateDiscreteSampler withUniformRandomProvider(UniformRandomProvider rng)
Description copied from interface:SharedStateSampler
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
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