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

상속: UnivariateContinuousDistribution, IFormattable

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

공개 메소드들

메소드	설명
AndersonDarlingDistribution ( AndersonDarlingDistributionType type, double samples ) : System	Creates a new Anderson-Darling distribution.
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	Not supported.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

비공개 메소드들

메소드	설명
ad_normal ( double x, double n ) : double
ad_uniform ( double z, double n ) : double
adinf ( double z ) : double
errfix ( double n, double x ) : double
g1 ( double x ) : double
g2 ( double x ) : double
g3 ( double x ) : double

메소드 상세

AndersonDarlingDistribution() 공개 메소드

Creates a new Anderson-Darling distribution.

public AndersonDarlingDistribution ( AndersonDarlingDistributionType type, double samples ) : System
type	AndersonDarlingDistributionType	The type of the compared distribution.
samples	double	The number of samples.
리턴	System

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

Not supported.

public ProbabilityDensityFunction ( double x ) : double
x	double
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