Class TSampler.NormalTSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.TSampler

org.apache.commons.rng.sampling.distribution.TSampler.NormalTSampler

All Implemented Interfaces:

ContinuousSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>

Enclosing class:

TSampler

private static final class TSampler.NormalTSampler
extends TSampler

Sample from a t-distribution using a normal distribution. This is used when the degrees of freedom is extremely large (e.g. > 1e16).

Since:

1.5

Field Summary

Fields

Modifier and Type	Field	Description
private final NormalizedGaussianSampler	sampler	Underlying normalized Gaussian sampler.

Constructor Summary

Constructors

Constructor	Description
NormalTSampler(UniformRandomProvider rng)

Method Summary

Modifier and Type	Method	Description
double	sample()	Creates a double sample.
TSampler.NormalTSampler	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 TSampler

nextLong, of, toString

Methods inherited from class Object

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

Methods inherited from interface ContinuousSampler

samples, samples

Field Details

sampler

private final NormalizedGaussianSampler sampler

Underlying normalized Gaussian sampler.

Constructor Details

NormalTSampler

NormalTSampler(UniformRandomProvider rng)

Parameters:

rng - Generator of uniformly distributed random numbers.

Method Details

sample

public double sample()

Creates a double sample.

Returns:

a sample.

withUniformRandomProvider

public TSampler.NormalTSampler 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.

Specified by:

withUniformRandomProvider in interface SharedStateSampler<SharedStateContinuousSampler>

Specified by:

withUniformRandomProvider in class TSampler

Parameters:

rng - Generator of uniformly distributed random numbers.

Returns:

the sampler