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## umontreal.iro.lecuyer.randvar
Class NormalInverseGaussianGen

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

Direct Known Subclasses:
  NormalInverseGaussianIGGen

    public class NormalInverseGaussianGen

extends RandomVariateGen

This class implements random variate generators for the normal inverse gaussian (NIG) distribution. See the definition of `NormalInverseGaussianDist`

Constructor Summary
`NormalInverseGaussianGen(RandomStream s, double alpha, double beta, double mu, double delta)` Creates an normal inverse gaussian random variate generator with parameters α = `alpha`, β = `beta`, μ = `mu` and δ = `delta`, using stream `s`.
`NormalInverseGaussianGen(RandomStream s, NormalInverseGaussianDist dist)` Creates a new generator for the distribution `dist`, using stream `s`.

Method Summary
`double` | `getAlpha()` Returns the parameter α of this object.
`double` | `getBeta()` Returns the parameter β of this object.
`double` | `getDelta()` Returns the parameter δ of this object.
`double` | `getMu()` Returns the parameter μ of this object.
`static double` | `nextDouble(RandomStream s, double alpha, double beta, double mu, double delta)` NOT IMPLEMENTED.
`void` | `setParams(double alpha, double beta, double mu, double delta)` Sets the parameters α, β, μ and δ of this object.

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

### NormalInverseGaussianGen

    public NormalInverseGaussianGen(RandomStream s,
                                    double alpha,
                                    double beta,
                                    double mu,
                                    double delta)

  Creates an normal inverse gaussian random variate generator with parameters α = `alpha`, β = `beta`, μ = `mu` and δ = `delta`, using stream `s`.

### NormalInverseGaussianGen

    public NormalInverseGaussianGen(RandomStream s,
                                    NormalInverseGaussianDist dist)

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

Method Detail

### nextDouble

    public static double nextDouble(RandomStream s,
                                    double alpha,
                                    double beta,
                                    double mu,
                                    double delta)

  NOT IMPLEMENTED. Use the daughter classes.

### getAlpha

    public double getAlpha()

  Returns the parameter α of this object.

### getBeta

    public double getBeta()

  Returns the parameter β of this object.

### getMu

    public double getMu()

  Returns the parameter μ of this object.

### getDelta

    public double getDelta()

  Returns the parameter δ of this object.

### setParams

    public void setParams(double alpha,
                          double beta,
                          double mu,
                          double delta)

  Sets the parameters α, β, μ and δ of this object.

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