PearsonRDistribution Class

Represents the distribution of Pearsons's r statistic.

Inheritance Hierarchy

SystemObject
  Meta.Numerics.Statistics.DistributionsUnivariateDistribution
    Meta.Numerics.Statistics.DistributionsContinuousDistribution
      Meta.Numerics.Statistics.DistributionsPearsonRDistribution

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

Syntax

C++

Copy

public sealed class PearsonRDistribution : ContinuousDistribution

Public NotInheritable Class PearsonRDistribution
	Inherits ContinuousDistribution

public ref class PearsonRDistribution sealed : public ContinuousDistribution

[<SealedAttribute>]
type PearsonRDistribution =  
    class
        inherit ContinuousDistribution
    end

The PearsonRDistribution type exposes the following members.

Constructors

	Name	Description
	PearsonRDistribution	Initializes a new instance of the Pearson r distribution for the sample size.

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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. (Overrides UnivariateDistributionMean.)
	Median	Gets the median of the distribution. (Overrides ContinuousDistributionMedian.)
	Skewness	Gets the skewness of the distribution. (Overrides UnivariateDistributionSkewness.)
	StandardDeviation	Gets the standard deviation of the distribution. (Inherited from UnivariateDistribution.)
	Support	Gets the interval over which the distribution is non-vanishing. (Overrides ContinuousDistributionSupport.)
	Variance	Gets the variance of the distribution. (Overrides UnivariateDistributionVariance.)

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Methods

	Name	Description
	CentralMoment	Computes a central moment of the distribution. (Overrides ContinuousDistributionCentralMoment(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. (Inherited from ContinuousDistribution.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetRandomValue	Generates a random variate. (Inherited from ContinuousDistribution.)
	GetRandomValues	Generates the given number of random variates. (Inherited from ContinuousDistribution.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Hazard	Computes the hazard function. (Inherited from ContinuousDistribution.)
	InverseLeftProbability	Returns the point at which the cumulative distribution function attains a given value. (Inherited from ContinuousDistribution.)
	InverseRightProbability	Returns the point at which the right probability function attains the given value. (Inherited from ContinuousDistribution.)
	LeftProbability	Returns the cumulative probability to the left of (below) the given point. (Overrides ContinuousDistributionLeftProbability(Double).)
	ProbabilityDensity	Returns the probability density at the given point. (Overrides ContinuousDistributionProbabilityDensity(Double).)
	RawMoment	Computes a raw moment of the distribution. (Overrides ContinuousDistributionRawMoment(Int32).)
	RightProbability	Returns the cumulative probability to the right of (above) the given point. (Overrides ContinuousDistributionRightProbability(Double).)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Reference

Meta.Numerics.Statistics.Distributions Namespace