jsim.variate
Class Gamma

java.lang.Object
  jsim.variate.Variate
      jsim.variate.Gamma

public class Gamma
extends Variate

Gamma random variate generation.

Constructor Summary

Gamma(double beta, double alpha, int i)
Constructs a Gamma random variate where mean = alpha * beta and variance = alpha * beta ^ 2.

Method Summary

double	gen() Generates a random number from the Gamma distribution
java.lang.Double[]	getParameters() Get the parameters of the constuctor

Methods inherited from class jsim.variate.Variate

incStream, printName

Methods inherited from class java.lang.Object

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

Constructor Detail

Gamma

public Gamma(double beta,
             double alpha,
             int i)

Constructs a Gamma random variate where mean = alpha * beta and variance = alpha * beta ^ 2.

Parameters:

beta - scale parameter (is this backwards?)

alpha - shape parameter

i - random number stream

Method Detail

getParameters

public java.lang.Double[] getParameters()

Get the parameters of the constuctor

Overrides:

getParameters in class Variate

gen

public double gen()

Generates a random number from the Gamma distribution

Overrides:

gen in class Variate

Returns:

double