Documentation of 'smile.stat.distribution.FDistribution' Java class
FDistribution
smile.stat.distribution

Class FDistribution

  • All Implemented Interfaces:
    Distribution


    public class FDistribution
    extends AbstractDistribution
    F-distribution arises in the testing of whether two observed samples have the same variance. A random variate of the F-distribution arises as the ratio of two chi-squared variates:
     U1 / d1
     -------
     U2 / d2
     
    where U1 and U2 have chi-square distributions with d1 and d2 degrees of freedom respectively, and U1 and U2 are independent.
    • Constructor Summary

      Constructors 
      Constructor and Description
      FDistribution(int nu1, int nu2)
      Constructor.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double cdf(double x)
      Cumulative distribution function.
      double entropy()
      Shannon entropy.
      int getNu1()
      Returns the parameter nu1, the degrees of freedom of chi-square distribution in numerator.
      int getNu2()
      Returns the parameter nu2, the degrees of freedom chi-square distribution in denominator.
      double logp(double x)
      The density at x in log scale, which may prevents the underflow problem.
      double mean()
      The mean of distribution.
      int npara()
      The number of parameters of the distribution.
      double p(double x)
      The probability density function for continuous distribution or probability mass function for discrete distribution at x.
      double quantile(double p)
      The quantile, the probability to the left of quantile is p.
      double rand()
      Generates a random number following this distribution.
      double sd()
      The standard deviation of distribution.
      java.lang.String toString() 
      double var()
      The variance of distribution.
      • Methods inherited from class java.lang.Object

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

      • FDistribution

        public FDistribution(int nu1,
                             int nu2)
        Constructor.
        Parameters:
        nu1 - the degree of freedom of chi-square distribution in numerator.
        nu2 - the degree of freedom of chi-square distribution in denominator.
    • Method Detail

      • getNu1

        public int getNu1()
        Returns the parameter nu1, the degrees of freedom of chi-square distribution in numerator.
      • getNu2

        public int getNu2()
        Returns the parameter nu2, the degrees of freedom chi-square distribution in denominator.
      • npara

        public int npara()
        Description copied from interface: Distribution
        The number of parameters of the distribution.
      • mean

        public double mean()
        Description copied from interface: Distribution
        The mean of distribution.
      • var

        public double var()
        Description copied from interface: Distribution
        The variance of distribution.
      • sd

        public double sd()
        Description copied from interface: Distribution
        The standard deviation of distribution.
      • entropy

        public double entropy()
        Shannon entropy. Not supported.
      • toString

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

        public double rand()
        Description copied from interface: Distribution
        Generates a random number following this distribution.
      • p

        public double p(double x)
        Description copied from interface: Distribution
        The probability density function for continuous distribution or probability mass function for discrete distribution at x.
      • logp

        public double logp(double x)
        Description copied from interface: Distribution
        The density at x in log scale, which may prevents the underflow problem.
      • cdf

        public double cdf(double x)
        Description copied from interface: Distribution
        Cumulative distribution function. That is the probability to the left of x.
      • quantile

        public double quantile(double p)
        Description copied from interface: Distribution
        The quantile, the probability to the left of quantile is p. It is actually the inverse of cdf.

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