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

Class NakagamiDistribution

  • All Implemented Interfaces:
    IDistribution


    public class NakagamiDistribution
    extends java.lang.Object
    implements IDistribution
    Nakagami distribution. The Nakagami distribution has been used in the modelling of wireless signal attenuation while traversing multiple paths.
    • Constructor Summary

      Constructors 
      Constructor and Description
      NakagamiDistribution(double shape, double spread)
      Initializes a new instance of the NakagamiDistribution class.
    • 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 getShape() 
      double getSpread() 
      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 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

      • NakagamiDistribution

        public NakagamiDistribution(double shape,
                                    double spread)
        Initializes a new instance of the NakagamiDistribution class.
        Parameters:
        shape - The shape parameter μ.
        spread - The spread parameter ω.
    • Method Detail

      • getShape

        public double getShape()
      • getSpread

        public double getSpread()
      • 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.
      • 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.

DataMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.