Class ChengBetaSampler.ChengBBBetaSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.ChengBetaSampler.BaseChengBetaSampler
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- org.apache.commons.rng.sampling.distribution.ChengBetaSampler.ChengBBBetaSampler
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- All Implemented Interfaces:
ContinuousSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
- Enclosing class:
- ChengBetaSampler
private static final class ChengBetaSampler.ChengBBBetaSampler extends ChengBetaSampler.BaseChengBetaSampler
Computes one sample using Cheng's BB algorithm, when beta distributionalpha
andbeta
shape parameters are both larger than 1.
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Field Summary
Fields Modifier and Type Field Description private double
beta
The algorithm beta factor.private double
gamma
The algorithm gamma factor.private static double
LN_5_P1
1 + natural logarithm of 5.-
Fields inherited from class org.apache.commons.rng.sampling.distribution.ChengBetaSampler.BaseChengBetaSampler
a, aIsAlphaShape, alpha, b, logAlpha, rng
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Constructor Summary
Constructors Modifier Constructor Description (package private)
ChengBBBetaSampler(UniformRandomProvider rng, boolean aIsAlphaShape, double a, double b)
private
ChengBBBetaSampler(UniformRandomProvider rng, ChengBetaSampler.ChengBBBetaSampler source)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
sample()
Creates adouble
sample.SharedStateContinuousSampler
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 org.apache.commons.rng.sampling.distribution.ChengBetaSampler.BaseChengBetaSampler
computeX, toString
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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.ContinuousSampler
samples, samples
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Constructor Detail
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ChengBBBetaSampler
ChengBBBetaSampler(UniformRandomProvider rng, boolean aIsAlphaShape, double a, double b)
- Parameters:
rng
- Generator of uniformly distributed random numbers.aIsAlphaShape
- true ifa
is the beta distribution alpha shape parameter.a
- min(alpha, beta) shape parameter.b
- max(alpha, beta) shape parameter.
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ChengBBBetaSampler
private ChengBBBetaSampler(UniformRandomProvider rng, ChengBetaSampler.ChengBBBetaSampler source)
- Parameters:
rng
- Generator of uniformly distributed random numbers.source
- Source to copy.
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Method Detail
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sample
public double sample()
Description copied from interface:ContinuousSampler
Creates adouble
sample.- Returns:
- a sample.
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withUniformRandomProvider
public SharedStateContinuousSampler 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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