ContinuousDistribution Class

Represents all continuous, univariate probability distribution.

Inheritance Hierarchy

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

Syntax

C++

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public abstract class ContinuousDistribution : UnivariateDistribution

Public MustInherit Class ContinuousDistribution
	Inherits UnivariateDistribution

public ref class ContinuousDistribution abstract : public UnivariateDistribution

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

The ContinuousDistribution type exposes the following members.

Constructors

	Name	Description
	ContinuousDistribution	Initializes a new instance of the ContinuousDistribution class

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Properties

	Name	Description
	ExcessKurtosis	Gets the excess kurtosis of the distribution. (Inherited from UnivariateDistribution.)
	Mean	Gets the mean of the distribution. (Inherited from UnivariateDistribution.)
	Median	Gets the median of the distribution.
	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.)

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Methods

	Name	Description
	CentralMoment	Computes 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 the given 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	Generates a random variate.
	GetRandomValues	Generates the given number of random variates.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Hazard	Computes the hazard function.
	InverseLeftProbability	Returns the point at which the cumulative distribution function attains a given value.
	InverseRightProbability	Returns the point at which the right probability function attains the given value.
	LeftProbability	Returns the cumulative probability to the left of (below) the given point.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ProbabilityDensity	Returns the probability density at the given point.
	RawMoment	Computes a raw moment of the distribution. (Overrides UnivariateDistributionRawMoment(Int32).)
	RightProbability	Returns the cumulative probability to the right of (above) the given point.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Reference

Meta.Numerics.Statistics.Distributions Namespace

Inheritance Hierarchy