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

상속: UnivariateContinuousDistribution

파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드	설명
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.

메소드 상세

Clone() 공개 메소드

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

public Clone ( ) : object
리턴	object

DistributionFunction() 공개 메소드

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.
리턴	double

InverseDistributionFunction() 공개 메소드

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.
리턴	double

LogProbabilityDensityFunction() 공개 메소드

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.
리턴	double

ProbabilityDensityFunction() 공개 메소드

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.
리턴	double

ToString() 공개 메소드

Returns a System.String that represents this instance.

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

WMinimum() 공개 정적인 메소드

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
리턴	double

WNegative() 공개 정적인 메소드

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
리턴	double

WPositive() 공개 정적인 메소드

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
리턴	double

WilcoxonDistribution() 공개 메소드

Creates a new Wilcoxon's W+ distribution.

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

WilcoxonDistribution() 공개 메소드

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).
리턴	System