DiscreteDistribution Class

Represents all discrete, univariate probability distributions.

Inheritance Hierarchy

SystemObject
  Meta.Numerics.Statistics.DistributionsUnivariateDistribution
    Meta.Numerics.Statistics.DistributionsDiscreteDistribution
      More...

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public abstract class DiscreteDistribution : UnivariateDistribution

Public MustInherit Class DiscreteDistribution
	Inherits UnivariateDistribution

public ref class DiscreteDistribution abstract : public UnivariateDistribution

[<AbstractClassAttribute>]
type DiscreteDistribution =  
    class
        inherit UnivariateDistribution
    end

The DiscreteDistribution type exposes the following members.

Constructors

	Name	Description
	DiscreteDistribution	Initializes a new instance of the DiscreteDistribution class

Properties

	Name	Description
	ExcessKurtosis	Gets the excess kurtosis of the distribution. (Inherited from UnivariateDistribution.)
	Mean	Gets the mean of the distribution. (Overrides UnivariateDistributionMean.)
	Skewness	Gets the skewness of the distribution. (Inherited from UnivariateDistribution.)
	StandardDeviation	Gets the standard deviation of the distribution. (Inherited from UnivariateDistribution.)
	Support	Gets the interval over which the distribution is non-vanishing.
	Variance	Gets the variance of the distribution. (Inherited from UnivariateDistribution.)

Methods

	Name	Description
	CentralMoment	Gets a central moment of the distribution. (Overrides UnivariateDistributionCentralMoment(Int32).)
	Cumulant	Computes a cumulant of the distribution. (Inherited from UnivariateDistribution.)
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	ExpectationValue	Computes the expectation value of an artibrary function.
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetRandomValue	Produces a random integer drawn from the distribution.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	InverseLeftProbability	Computes the value corresponding to the given percentile.
	LeftExclusiveProbability	Computes the probability of obtaining a value less than the given value.
	LeftInclusiveProbability	Computes the probability of obtaining a value less than or equal to the given value.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ProbabilityMass	Returns the probability of the obtaining the given value.
	RawMoment	Gets a raw moment of the distribution. (Overrides UnivariateDistributionRawMoment(Int32).)
	RightExclusiveProbability	Computes the probability of obtaining a value greater than the given value.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Remarks

A discrete distribution is a distribution over the integers.

Inheritance Hierarchy