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

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 w ) : double	Gets the cumulative distribution function (cdf) for this distribution evaluated at point `k`. The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
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 w ) : double	Gets the log-probability density function (pdf) for this distribution evaluated at point `w`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
ProbabilityDensityFunction ( double w ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `w`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.
WMinimum ( int signs, double ranks ) : double	Computes the Wilcoxon's W statistic. The W statistic is computed as the minimum of the W+ and W- statistics.
WNegative ( int signs, double ranks ) : double	Computes the Wilcoxon's W- statistic. The W- statistic is computed as the sum of all negative signed ranks.
WPositive ( int signs, double ranks ) : double	Computes the Wilcoxon's W+ statistic. The W+ statistic is computed as the sum of all positive signed ranks.
WilcoxonDistribution ( double ranks ) : System	Creates a new Wilcoxon's W+ distribution.
WilcoxonDistribution ( double ranks, bool forceExact ) : System	Creates a new Wilcoxon's W+ distribution.

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 k.

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

public DistributionFunction ( double w ) : double
w	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 w.

The Probability Density Function (PDF) describes the probability that a given value x will occur.

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

ProbabilityDensityFunction() public méthode

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

The Probability Density Function (PDF) describes the probability that a given value x will occur.

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

WMinimum() public static méthode

Computes the Wilcoxon's W statistic.

The W statistic is computed as the minimum of the W+ and W- statistics.

public static WMinimum ( int signs, double ranks ) : double
signs	int
ranks	double
Résultat	double

WNegative() public static méthode

Computes the Wilcoxon's W- statistic.

The W- statistic is computed as the sum of all negative signed ranks.

public static WNegative ( int signs, double ranks ) : double
signs	int
ranks	double
Résultat	double

WPositive() public static méthode

Computes the Wilcoxon's W+ statistic.

The W+ statistic is computed as the sum of all positive signed ranks.

public static WPositive ( int signs, double ranks ) : double
signs	int
ranks	double
Résultat	double

WilcoxonDistribution() public méthode

Creates a new Wilcoxon's W+ distribution.

public WilcoxonDistribution ( double ranks ) : System
ranks	double	The rank statistics for the samples.
Résultat	System

WilcoxonDistribution() public méthode

Creates a new Wilcoxon's W+ distribution.

public WilcoxonDistribution ( double ranks, bool forceExact ) : System
ranks	double	The rank statistics for the samples.
forceExact	bool	True to compute the exact test. May requires /// a significant amount of processing power for large samples (n > 12).
Résultat	System