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

Class ContinuousUniformDistribution

  • All Implemented Interfaces:
    IDistribution


    public class ContinuousUniformDistribution
    extends java.lang.Object
    implements IDistribution
    Continuous Uniform 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 Length() 
      double LogProbabilityDensityFunction(double x)
      Gets the log-probability density function (pdf) for this distribution evaluated at point x.
      double Maximum() 
      double Mean()
      Gets the mean for this distribution.
      double Minimum() 
      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

      • ContinuousUniformDistribution

        public ContinuousUniformDistribution()
        Creates new ContinuousUniformDistribution.
      • ContinuousUniformDistribution

        public ContinuousUniformDistribution(double a,
                                             double b)
        Creates new ContinuousUniformDistribution.
        Parameters:
        a - Minimum.
        b - Maximum.
    • Method Detail

      • Length

        public double Length()
      • 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.
      • Minimum

        public double Minimum()
      • Maximum

        public double Maximum()
      • 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.
      • 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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