umontreal.iro.lecuyer.randvar

Class NakagamiGen

java.lang.Object

umontreal.iro.lecuyer.randvar.RandomVariateGen

umontreal.iro.lecuyer.randvar.NakagamiGen

public class NakagamiGen
extends RandomVariateGen

This class implements random variate generators for the Nakagami distribution. See the definition in NakagamiDist of package probdist.

Constructor Summary

Constructors

Constructor and Description
NakagamiGen(RandomStream s, double a, double lambda, double c) Creates a new Nakagami generator with parameters a = a, λ = lambda and c = c, using stream s.
NakagamiGen(RandomStream s, NakagamiDist dist) Creates a new generator for the distribution dist, using stream s.

Method Summary

Modifier and Type	Method and Description
double	getA() Returns the location parameter a of this object.
double	getC() Returns the shape parameter c of this object.
double	getLambda() Returns the scale parameter λ of this object.
static double	nextDouble(RandomStream s, double a, double lambda, double c) Generates a variate from the Nakagami distribution with parameters a = a, λ = lambda and c = c, using stream s.

Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen

getDistribution, getStream, nextArrayOfDouble, nextDouble, setStream, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

NakagamiGen

public NakagamiGen(RandomStream s,
                   double a,
                   double lambda,
                   double c)

Creates a new Nakagami generator with parameters a = a, λ = lambda and c = c, using stream s.

NakagamiGen

public NakagamiGen(RandomStream s,
                   NakagamiDist dist)

Creates a new generator for the distribution dist, using stream s.

Method Detail

nextDouble

public static double nextDouble(RandomStream s,
                                double a,
                                double lambda,
                                double c)

Generates a variate from the Nakagami distribution with parameters a = a, λ = lambda and c = c, using stream s.

Parameters:

s - the random stream

a - the location parameter

lambda - the scale parameter

c - the shape parameter

Returns:

Generates a variate from the Nakagami distribution

getA

public double getA()

Returns the location parameter a of this object.

Returns:

the location parameter mu

getLambda

public double getLambda()

Returns the scale parameter λ of this object.

Returns:

the scale parameter mu

getC

public double getC()

Returns the shape parameter c of this object.

Returns:

the shape parameter mu