SSJ
V. 1.2.5.

umontreal.iro.lecuyer.randvar
Class ParetoGen

java.lang.Object
  extended by umontreal.iro.lecuyer.randvar.RandomVariateGen
      extended by umontreal.iro.lecuyer.randvar.ParetoGen

public class ParetoGen
extends RandomVariateGen

This class implements random variate generators for one of the Pareto distributions, with parameters α > 0 and β > 0. Its density function is

f (x) = αβαx-(α-1) for x > β, 0 otherwise.

The (non-static) nextDouble method simply calls inverseF on the distribution.


Constructor Summary
ParetoGen(RandomStream s, ParetoDist dist)
          Creates a new generator for the Pareto distribution dist and stream s.
 
Method Summary
 double nextDouble()
          Generates a random number from the continuous distribution contained in this object.
static double nextDouble(RandomStream s, double alpha, double beta)
          Generates a new variate from the Pareto distribution with parameters α = alpha and β = beta, using stream s.
 
Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen
getDistribution, getStream, nextArrayOfDouble, setStream
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

ParetoGen

public ParetoGen(RandomStream s,
                 ParetoDist dist)
Creates a new generator for the Pareto distribution dist and stream s.

Method Detail

nextDouble

public double nextDouble()
Description copied from class: RandomVariateGen
Generates a random number from the continuous distribution contained in this object. By default, this method uses inversion by calling the inverseF method of the distribution object. Alternative generating methods are provided in subclasses.

Overrides:
nextDouble in class RandomVariateGen
Returns:
the generated value

nextDouble

public static double nextDouble(RandomStream s,
                                double alpha,
                                double beta)
Generates a new variate from the Pareto distribution with parameters α = alpha and β = beta, using stream s.


SSJ
V. 1.2.5.

To submit a bug or ask questions, send an e-mail to Pierre L'Ecuyer.