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

Inheritance: UnivariateContinuousDistribution, IFormattable

Afficher le fichier Open project: accord-net/framework Class Usage Examples

Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
ComplementaryDistributionFunction ( double x ) : double	Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point `x`. This function is also known as the Survival function. The Complementary Cumulative Distribution Function (CCDF) is the complement of the Cumulative Distribution Function, or 1 minus the CDF.
DistributionFunction ( double x ) : double	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.
Fit ( double observations, double weights, Fitting options ) : void	Not supported.
LogProbabilityDensityFunction ( double x ) : double	Not supported.
ProbabilityDensityFunction ( double x ) : double	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.
ShapiroWilkDistribution ( [ samples ) : System	Creates a new Shapiro-Wilk distribution.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

Method Details

Clone() public méthode

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

public Clone ( ) : object
Résultat	object

ComplementaryDistributionFunction() public méthode

Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.

The Complementary Cumulative Distribution Function (CCDF) is the complement of the Cumulative Distribution Function, or 1 minus the CDF.

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

DistributionFunction() public méthode

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.

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

Fit() public méthode

Not supported.

public Fit ( double observations, double weights, Fitting options ) : void
observations	double
weights	double
options	Fitting
Résultat	void

LogProbabilityDensityFunction() public méthode

Not supported.

public LogProbabilityDensityFunction ( double x ) : double
x	double
Résultat	double

ProbabilityDensityFunction() public méthode

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.

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

ShapiroWilkDistribution() public méthode

Creates a new Shapiro-Wilk distribution.

public ShapiroWilkDistribution ( [ samples ) : System
samples	[	The number of samples.
Résultat	System

ToString() public méthode

Returns a System.String that represents this instance.

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