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## umontreal.iro.lecuyer.randvar
Class InverseGaussianGen

    java.lang.Object
      umontreal.iro.lecuyer.randvar.RandomVariateGen
          umontreal.iro.lecuyer.randvar.InverseGaussianGen

Direct Known Subclasses:
  InverseGaussianMSHGen

    public class InverseGaussianGen

extends RandomVariateGen

This class implements random variate generators for the inverse Gaussian distribution with location parameter μ > 0 and scale parameter λ > 0. The density function of this distribution is

f (x) = (λ)1/2/(2πx3) e-λ(x-μ)2/(2μ2x) for x > 0.

Constructor Summary
`InverseGaussianGen(RandomStream s, double mu, double lambda)` Creates an inverse Gaussian random variate generator with parameters μ = `mu` and λ = `lambda`, using stream `s`.
`InverseGaussianGen(RandomStream s, InverseGaussianDist dist)` Creates a new generator for the distribution `dist`, using stream `s`.

Method Summary
`double` | `getLambda()` Returns the parameter λ of this object.
`double` | `getMu()` Returns the parameter μ of this object.
`static double` | `nextDouble(RandomStream s, double mu, double lambda)` Generates a variate from the inverse gaussian distribution with location parameter μ > 0 and scale parameter λ > 0.

Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen
`getDistribution, getStream, nextArrayOfDouble, nextDouble, setStream`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### InverseGaussianGen

    public InverseGaussianGen(RandomStream s,
                              double mu,
                              double lambda)

  Creates an inverse Gaussian random variate generator with parameters μ = `mu` and λ = `lambda`, using stream `s`.

### InverseGaussianGen

    public InverseGaussianGen(RandomStream s,
                              InverseGaussianDist dist)

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

Method Detail

### nextDouble

    public static double nextDouble(RandomStream s,
                                    double mu,
                                    double lambda)

  Generates a variate from the inverse gaussian distribution with location parameter μ > 0 and scale parameter λ > 0.

### getMu

    public double getMu()

  Returns the parameter μ of this object.

### getLambda

    public double getLambda()

  Returns the parameter λ of this object.

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