C# Class Accord.Statistics.Distributions.Univariate.TukeyLambdaDistribution

Inheritance: UnivariateContinuousDistribution

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Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( double x ) : double	Gets the cumulative distribution function (cdf) for this distribution evaluated at point `x`.
InverseDistributionFunction ( double p ) : double	Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability `p`. This function is also known as the Quantile function.
LogProbabilityDensityFunction ( double x ) : double	Gets the log-probability density function (pdf) for this distribution evaluated at point `x`.
LogQuantileDensityFunction ( double p ) : double	Gets the log of the quantile density function, which in turn is the first derivative of the inverse distribution function (icdf), evaluated at probability `p`.
ProbabilityDensityFunction ( double x ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`.
QuantileDensityFunction ( double p ) : double	Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability `p`.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.
TukeyLambdaDistribution ( [ lambda ) : System	Constructs a Tukey-Lambda distribution with the given lambda (shape) parameter.

Private Methods

Méthode	Description
initialize ( double lambda ) : void

Method Details

Clone() public méthode

Creates a new object that is a copy of the current instance.

public Clone ( ) : object
Résultat	object

DistributionFunction() public méthode

Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.

public DistributionFunction ( double x ) : double
x	double	A single point in the distribution range.
Résultat	double

InverseDistributionFunction() public méthode

Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.

public InverseDistributionFunction ( double p ) : double
p	double	A probability value between 0 and 1.
Résultat	double

LogProbabilityDensityFunction() public méthode

Gets the log-probability density function (pdf) for this distribution evaluated at point x.

public LogProbabilityDensityFunction ( double x ) : double
x	double	A single point in the distribution range.
Résultat	double

LogQuantileDensityFunction() public méthode

Gets the log of the quantile density function, which in turn is the first derivative of the inverse distribution function (icdf), evaluated at probability p.

public LogQuantileDensityFunction ( double p ) : double
p	double	A probability value between 0 and 1.
Résultat	double

ProbabilityDensityFunction() public méthode

Gets the probability density function (pdf) for this distribution evaluated at point x.

public ProbabilityDensityFunction ( double x ) : double
x	double	A single point in the distribution range.
Résultat	double

QuantileDensityFunction() public méthode

Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p.

public QuantileDensityFunction ( double p ) : double
p	double	A probability value between 0 and 1.
Résultat	double

ToString() public méthode

Returns a System.String that represents this instance.

public ToString ( string format, IFormatProvider formatProvider ) : string
format	string
formatProvider	IFormatProvider
Résultat	string

TukeyLambdaDistribution() public méthode

Constructs a Tukey-Lambda distribution with the given lambda (shape) parameter.

public TukeyLambdaDistribution ( [ lambda ) : System
lambda	[
Résultat	System