Package dev.nm.stat.distribution.discrete

Class ProbabilityMassSampler<X>

java.lang.Object

dev.nm.stat.distribution.discrete.ProbabilityMassSampler<X>

Type Parameters:

X - the type of the random variable

All Implemented Interfaces:

Seedable

public class ProbabilityMassSampler<X>
extends Object
implements Seedable

A random sampler that is constructed ad-hoc from a list of values and their probabilities.

Constructor Summary

Constructors

Constructor	Description
ProbabilityMassSampler(List<ProbabilityMassFunction.Mass<X>> outcomes, RandomLongGenerator uniformRNG)	Creates an instance with the probable values and an RNG.

Method Summary

Modifier and Type	Method	Description
X	next()	Gets the next random element from the range of the probability distribution.
void	seed(long... seeds)	Seed the random number/vector/scenario generator to produce repeatable experiments.

Methods inherited from class java.lang.Object

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

Constructor Details

ProbabilityMassSampler

public ProbabilityMassSampler(List<ProbabilityMassFunction.Mass<X>> outcomes,
 RandomLongGenerator uniformRNG)

Creates an instance with the probable values and an RNG.

Parameters:

outcomes - the values this distribution can take and their associated probabilities

uniformRNG - a uniform random number generator

Method Details

seed

public void seed(long... seeds)

Description copied from interface: Seedable

Seed the random number/vector/scenario generator to produce repeatable experiments.

Specified by:

seed in interface Seedable

Parameters:

seeds - the seeds

next

public X next()

Gets the next random element from the range of the probability distribution.

Returns:

the next random outcome