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

Class StudentGen

  • Direct Known Subclasses:
    StudentPolarGen


    public class StudentGen
    extends RandomVariateGen
    This class implements methods for generating random variates from the Student distribution with n > 0 degrees of freedom. Its density function is

    f (x) = [Γ((n + 1)/2)/(Γ(n/2)(πn)1/2)][1 + x2/n]-(n+1)/2                for - ∞ < x < ∞,

    where Γ(x) is the gamma function defined in GammaGen.

    The nextDouble method simply calls inverseF on the distribution.

    The following table gives the CPU time needed to generate 107 Student random variates using the different implementations available in SSJ. The second test (Q) was made with the inverse in StudentDistQuick, while the first test was made with the inverse in StudentDist. These tests were made on a machine with processor AMD Athlon 4000, running Red Hat Linux, with clock speed at 2400 MHz.

    Generator time in seconds
    StudentGen 22.4
    StudentGen(Q) 6.5
    StudentPolarGen 1.4
    • Constructor Detail

      • StudentGen

        public StudentGen(RandomStream s,
                          int n)
        Creates a Student random variate generator with n degrees of freedom, using stream s.
      • StudentGen

        public StudentGen(RandomStream s,
                          StudentDist dist)
        Creates a new generator for the Student distribution dist and stream s.
    • Method Detail

      • nextDouble

        public static double nextDouble(RandomStream s,
                                        int n)
        Generates a new variate from the Student distribution with n = n degrees of freedom, using stream s.
      • getN

        public int getN()
        Returns the value of n for this object.

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