Documentation of 'umontreal.iro.lecuyer.randvar.ChiSquareNoncentralPoisGen' Java class
ChiSquareNoncentralPoisGen
umontreal.iro.lecuyer.randvar

Class ChiSquareNoncentralPoisGen



  • public class ChiSquareNoncentralPoisGen
    extends ChiSquareNoncentralGen
    This class implements noncentral chi square random variate generators using Poisson and central chi square generators. It uses the following algorithm: generate a random integer J∼Poisson(λ/2) from a Poisson distribution, generate a random real XΓ(j + ν/2, 1/2) from a gamma distribution, then return X. Here ν is the number of degrees of freedom and λ is the noncentrality parameter.

    To generate the Poisson variates, one uses tabulated inversion for λ < 10, and the acceptance complement method for λ >= 10, as in (see class PoissonTIACGen). To generate the gamma variates, one uses acceptance-rejection for α < 1, and acceptance-complement for α >= 1, as proposed in (see class GammaAcceptanceRejectionGen).

    • Constructor Detail

      • ChiSquareNoncentralPoisGen

        public ChiSquareNoncentralPoisGen(RandomStream stream,
                                          double nu,
                                          double lambda)
        Creates a noncentral chi square random variate generator with ν = nu degrees of freedom and noncentrality parameter λ = lambda using stream stream, as described above.
    • 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 stream,
                                        double nu,
                                        double lambda)
        Generates a variate from the noncentral chi square distribution with parameters ν = nu and λ = lambda using stream stream, as described above.

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