Documentation of 'Catalano.Statistics.Distributions.ParetoDistribution' Java class
ParetoDistribution
Catalano.Statistics.Distributions

Class ParetoDistribution

  • All Implemented Interfaces:
    IDistribution


    public class ParetoDistribution
    extends java.lang.Object
    implements IDistribution
    Pareto's Distribution. The Pareto distribution, named after the Italian economist Vilfredo Pareto, is a power law probability distribution that coincides with social, scientific, geophysical, actuarial, and many other types of observable phenomena. Outside the field of economics it is sometimes referred to as the Bradford distribution.
    • Constructor Summary

      Constructors 
      Constructor and Description
      ParetoDistribution(double scale, double shape)
      Creates new Pareto distribution.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double DistributionFunction(double x)
      Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
      double Entropy()
      Gets the entropy for this distribution.
      double LogProbabilityDensityFunction(double x)
      Gets the log-probability density function (pdf) for this distribution evaluated at point x.
      double Mean()
      Gets the mean for this distribution.
      double Median()
      Gets the median for this distribution.
      double Mode()
      Gets the mode for this distribution.
      double ProbabilityDensityFunction(double x)
      Gets the probability density function (pdf) for this distribution evaluated at point x.
      double Variance()
      Gets the variance for this distribution.
      • Methods inherited from class java.lang.Object

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

      • ParetoDistribution

        public ParetoDistribution(double scale,
                                  double shape)
        Creates new Pareto distribution.
        Parameters:
        scale - The scale parameter x.
        shape - The shape parameter alpha.
    • Method Detail

      • Mean

        public double Mean()
        Description copied from interface: IDistribution
        Gets the mean for this distribution.
        Specified by:
        Mean in interface IDistribution
        Returns:
        The distribution's mean value.
      • Variance

        public double Variance()
        Description copied from interface: IDistribution
        Gets the variance for this distribution.
        Specified by:
        Variance in interface IDistribution
        Returns:
        The distribution's variance.
      • Entropy

        public double Entropy()
        Description copied from interface: IDistribution
        Gets the entropy for this distribution.
        Specified by:
        Entropy in interface IDistribution
        Returns:
        The distribution's entropy.
      • Mode

        public double Mode()
        Gets the mode for this distribution.
        Returns:
        The distribution's mode value.
      • Median

        public double Median()
        Gets the median for this distribution.
        Returns:
        The distribution's median value.
      • DistributionFunction

        public double DistributionFunction(double x)
        Description copied from interface: IDistribution
        Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
        The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
        Specified by:
        DistributionFunction in interface IDistribution
        Parameters:
        x - A single point in the distribution range.
        Returns:
        The probability of x occurring in the current distribution.
      • ProbabilityDensityFunction

        public double ProbabilityDensityFunction(double x)
        Description copied from interface: IDistribution
        Gets the probability density function (pdf) for this distribution evaluated at point x.
        The Probability Density Function (PDF) describes the probability that a given value x will occur.
        Specified by:
        ProbabilityDensityFunction in interface IDistribution
        Parameters:
        x - A single point in the distribution range.
        Returns:
        The probability of x occurring in the current distribution.
      • LogProbabilityDensityFunction

        public double LogProbabilityDensityFunction(double x)
        Description copied from interface: IDistribution
        Gets the log-probability density function (pdf) for this distribution evaluated at point x.
        The Probability Density Function (PDF) describes the probability that a given value x will occur.
        Specified by:
        LogProbabilityDensityFunction in interface IDistribution
        Parameters:
        x - A single point in the distribution range.
        Returns:
        The probability of x occurring in the current distribution.

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