public class LargeMeanPoissonSampler extends Object implements SharedStateDiscreteSampler
Devroye, Luc. (1981).The Computer Generation of Poisson Random Variables
Computing vol. 26 pp. 197-207.
This sampler is suitable for mean >= 40.
Sampling uses:
| Constructor and Description |
|---|
LargeMeanPoissonSampler(UniformRandomProvider rng,
double mean) |
| Modifier and Type | Method and Description |
|---|---|
static SharedStateDiscreteSampler |
of(UniformRandomProvider rng,
double mean)
Creates a new Poisson distribution sampler.
|
int |
sample()
Creates an
int sample. |
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.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitsamples, samplespublic LargeMeanPoissonSampler(UniformRandomProvider rng, double mean)
rng - Generator of uniformly distributed random numbers.mean - Mean.IllegalArgumentException - if mean < 1 or
mean > 0.5 * Integer.MAX_VALUE.public int sample()
int sample.sample in interface DiscreteSamplerpublic SharedStateDiscreteSampler withUniformRandomProvider(UniformRandomProvider rng)
withUniformRandomProvider in interface SharedStateSampler<SharedStateDiscreteSampler>rng - Generator of uniformly distributed random numbers.public static SharedStateDiscreteSampler of(UniformRandomProvider rng, double mean)
rng - Generator of uniformly distributed random numbers.mean - Mean.IllegalArgumentException - if mean < 1 or mean > 0.5 *
Integer.MAX_VALUE.Copyright © 2016–2022 The Apache Software Foundation. All rights reserved.