org.apache.commons.rng.sampling.distribution

Class LogNormalSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.LogNormalSampler

All Implemented Interfaces:

ContinuousSampler

Direct Known Subclasses:

BoxMullerLogNormalSampler

public class LogNormalSampler
extends Object
implements ContinuousSampler

Sampling from a log-normal distribution.

Since:

1.1

Constructor Summary

Constructors

Constructor and Description
LogNormalSampler(NormalizedGaussianSampler gaussian, double scale, double shape)

Method Summary

Modifier and Type	Method and Description
double	sample() Creates a sample.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

LogNormalSampler

public LogNormalSampler(NormalizedGaussianSampler gaussian,
                        double scale,
                        double shape)

Parameters:

gaussian - N(0,1) generator.

scale - Scale of the log-normal distribution.

shape - Shape of the log-normal distribution.

Method Detail

sample

public double sample()

Creates a sample.

Specified by:

sample in interface ContinuousSampler

Returns:

a sample.

toString

public String toString()

Overrides:

toString in class Object