SSJ
V. 1.2.5.

umontreal.iro.lecuyer.randvar
Class WeibullGen

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

public class WeibullGen
extends RandomVariateGen

This class implements random variate generators for the Weibull distribution. Its density is

f (x) = αλα(x - δ)α-1exp[- (λ(x - δ))α]         for x > δ,

and f (x) = 0 elsewhere, where α > 0, and λ > 0.

No local copy of the parameters λ and δ is maintained in this class. The (non-static) nextDouble method simply calls inverseF on the distribution.


Constructor Summary
WeibullGen(RandomStream s, WeibullDist dist)
          Creates a new generator for the Weibull 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 lambda, double delta)
          Uses inversion to generate a new variate from the Weibull distribution with parameters α = alpha, λ = lambda, and δ = delta, 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

WeibullGen

public WeibullGen(RandomStream s,
                  WeibullDist dist)
Creates a new generator for the Weibull 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 lambda,
                                double delta)
Uses inversion to generate a new variate from the Weibull distribution with parameters α = alpha, λ = lambda, and δ = delta, using stream s.


SSJ
V. 1.2.5.

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