Documentation of 'umontreal.iro.lecuyer.probdist.JohnsonSBDist' Java class
JohnsonSBDist
umontreal.iro.lecuyer.probdist

Class JohnsonSBDist

  • All Implemented Interfaces:
    Distribution


    public class JohnsonSBDist
    extends ContinuousDistribution
    Extends the class ContinuousDistribution for the Johnson SB distribution with shape parameters γ and δ > 0, location parameter ξ, and scale parameter λ > 0. Denoting y = (x - ξ)/λ, the density is

    f (x) = δ/(λy(1-y)(2π)1/2exp(- (1/2)[γ + δln(y/(1 - y))]2)) for ξ < x < ξ + λ,

    and 0 elsewhere. The distribution function is

    F(x) = Φ[γ + δln(y/(1 - y))], for ξ < x < ξ + λ,

    where Φ is the standard normal distribution function. The inverse distribution function is

    F-1(u) = ξ + λ(1/(1 + e-v(u)))        for 0 <= u <= 1,

    where

    v(u) = [Φ-1(u) - γ]/δ.

    This class relies on the methods NormalDist.cdf01 and NormalDist.inverseF01 of NormalDist to approximate Φ and Φ-1.

    • Constructor Summary

      Constructors 
      Constructor and Description
      JohnsonSBDist(double gamma, double delta, double xi, double lambda)
      Constructs a JohnsonSBDist object with shape parameters γ and δ, location parameter ξ and scale parameter λ.
    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double barF(double x)
      Returns the complementary distribution function.
      static double barF(double gamma, double delta, double xi, double lambda, double x)
      Computes the complementary distribution.
      double cdf(double x)
      Returns the distribution function F(x).
      static double cdf(double gamma, double delta, double xi, double lambda, double x)
      Computes the distribution function.
      double density(double x)
      Returns f (x), the density evaluated at x.
      static double density(double gamma, double delta, double xi, double lambda, double x)
      Computes the density function.
      double getDelta()
      Returns the value of δ for this object.
      double getGamma()
      Returns the value of γ for this object.
      double getLambda()
      Returns the value of λ for this object.
      double[] getParams()
      Return a table containing the parameters of the current distribution.
      double getXi()
      Returns the value of ξ for this object.
      double inverseF(double u)
      Returns the inverse distribution function x = F-1(u).
      static double inverseF(double gamma, double delta, double xi, double lambda, double u)
      Computes the inverse of the distribution.
      void setParams(double gamma, double delta, double xi, double lambda)
      Sets the value of the parameters γ, δ, ξ and λ for this object.
      java.lang.String toString() 
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
    • Constructor Detail

      • JohnsonSBDist

        public JohnsonSBDist(double gamma,
                             double delta,
                             double xi,
                             double lambda)
        Constructs a JohnsonSBDist object with shape parameters γ and δ, location parameter ξ and scale parameter λ.
    • Method Detail

      • density

        public double density(double x)
        Description copied from class: ContinuousDistribution
        Returns f (x), the density evaluated at x.
        Specified by:
        density in class ContinuousDistribution
        Parameters:
        x - value at which the density is evaluated
        Returns:
        density function evaluated at x
      • cdf

        public double cdf(double x)
        Description copied from interface: Distribution
        Returns the distribution function F(x).
        Parameters:
        x - value at which the distribution function is evaluated
        Returns:
        distribution function evaluated at x
      • barF

        public double barF(double x)
        Description copied from class: ContinuousDistribution
        Returns the complementary distribution function. The default implementation computes bar(F)(x) = 1 - F(x).
        Specified by:
        barF in interface Distribution
        Overrides:
        barF in class ContinuousDistribution
        Parameters:
        x - value at which the complementary distribution function is evaluated
        Returns:
        complementary distribution function evaluated at x
      • inverseF

        public double inverseF(double u)
        Description copied from class: ContinuousDistribution
        Returns the inverse distribution function x = F-1(u). Restrictions: u∈[0, 1].
        Specified by:
        inverseF in interface Distribution
        Overrides:
        inverseF in class ContinuousDistribution
        Parameters:
        u - value at which the inverse distribution function is evaluated
        Returns:
        the inverse distribution function evaluated at u
      • density

        public static double density(double gamma,
                                     double delta,
                                     double xi,
                                     double lambda,
                                     double x)
        Computes the density function.
      • cdf

        public static double cdf(double gamma,
                                 double delta,
                                 double xi,
                                 double lambda,
                                 double x)
        Computes the distribution function.
      • barF

        public static double barF(double gamma,
                                  double delta,
                                  double xi,
                                  double lambda,
                                  double x)
        Computes the complementary distribution.
      • inverseF

        public static double inverseF(double gamma,
                                      double delta,
                                      double xi,
                                      double lambda,
                                      double u)
        Computes the inverse of the distribution.
      • getGamma

        public double getGamma()
        Returns the value of γ for this object.
      • getDelta

        public double getDelta()
        Returns the value of δ for this object.
      • getXi

        public double getXi()
        Returns the value of ξ for this object.
      • getLambda

        public double getLambda()
        Returns the value of λ for this object.
      • setParams

        public void setParams(double gamma,
                              double delta,
                              double xi,
                              double lambda)
        Sets the value of the parameters γ, δ, ξ and λ for this object.
      • getParams

        public double[] getParams()
        Return a table containing the parameters of the current distribution. This table is put in regular order: [γ, δ, ξ, λ].
      • toString

        public java.lang.String toString()
        Overrides:
        toString in class java.lang.Object

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