broadwick.statistics.distributions

Class Normal

java.lang.Object

broadwick.statistics.distributions.Normal

All Implemented Interfaces:

ContinuousDistribution

public class Normal
extends Object
implements ContinuousDistribution

Sample fro a Normal (Gaussian) Distribution. This is a simple wrapper class for the RNG.getGaussian method using a Well19937c random number generator.

References:

• Normal Distribution

Field Summary

Fields

Modifier and Type	Field and Description
private static RNG	GENERATOR
private double	mean
private double	stdDev

Constructor Summary

Constructors

Constructor and Description
Normal() Create a normal distribution of zero mean and unit standard deviation.
Normal(double mean, double stdDev) Create a normal distribution with a given mean and standard deviation.

Method Summary

Modifier and Type	Method and Description
double	sample() Obtain a sample from the distribution.

Methods inherited from class java.lang.Object

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

Field Detail

mean

private double mean

stdDev

private double stdDev

GENERATOR

private static final RNG GENERATOR

Constructor Detail

Normal

public Normal()

Create a normal distribution of zero mean and unit standard deviation.

Normal

public Normal(double mean,
              double stdDev)

Create a normal distribution with a given mean and standard deviation.

Parameters:

mean - the mean vlaue of the distribution.

stdDev - the stand deviation of the distribution.

Method Detail

sample

public final double sample()

Description copied from interface: ContinuousDistribution

Obtain a sample from the distribution.

Specified by:

sample in interface ContinuousDistribution

Returns:

the sampled value from the distribution.