Package dev.nm.stat.random.rng.univariate

Class ThinRNG

java.lang.Object

dev.nm.stat.random.rng.univariate.ThinRNG

All Implemented Interfaces:

RandomNumberGenerator, Seedable

public class ThinRNG
extends Object
implements RandomNumberGenerator

Thinning is a scheme that returns every m-th item, discarding the last m-1 items for each draw. This usually helps reduce serial correlation.

Constructor Summary

Constructors

Constructor	Description
ThinRNG(RandomNumberGenerator rng, int m)	Constructs a thinned RNG.

Method Summary

Modifier and Type	Method	Description
double	nextDouble()	Get the next random double.
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

ThinRNG

public ThinRNG(RandomNumberGenerator rng,
 int m)

Constructs a thinned RNG.

Parameters:

rng - an underlying RNG

m - the number of items to draw from the underlying RNG for each draw

Method Details

nextDouble

public double nextDouble()

Description copied from interface: RandomNumberGenerator

Get the next random double.

Specified by:

nextDouble in interface RandomNumberGenerator

Returns:

the next random number

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