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

상속: UnivariateContinuousDistribution, IFormattable

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.
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.

메소드 상세

Clone() 공개 메소드

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

public Clone ( ) : object
리턴	object

ComplementaryDistributionFunction() 공개 메소드

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.
리턴	double

DistributionFunction() 공개 메소드

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.
리턴	double

Fit() 공개 메소드

Not supported.

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

LogProbabilityDensityFunction() 공개 메소드

Not supported.

public LogProbabilityDensityFunction ( double x ) : double
x	double
리턴	double

ProbabilityDensityFunction() 공개 메소드

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.
리턴	double

ShapiroWilkDistribution() 공개 메소드

Creates a new Shapiro-Wilk distribution.

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

ToString() 공개 메소드

Returns a System.String that represents this instance.

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