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

Inheritance: UnivariateContinuousDistribution, IFormattable

ファイルを表示 Open project: accord-net/framework Class Usage Examples

Public Methods

Method	Description
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.

Private Methods

Method	Description
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

Method Details

AndersonDarlingDistribution() public method

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.
return	System

Clone() public method

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

public Clone ( ) : object
return	object

ComplementaryDistributionFunction() public method

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.
return	double

DistributionFunction() public method

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.
return	double

Fit() public method

Not supported.

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

LogProbabilityDensityFunction() public method

Not supported.

public LogProbabilityDensityFunction ( double x ) : double
x	double
return	double

ProbabilityDensityFunction() public method

Not supported.

public ProbabilityDensityFunction ( double x ) : double
x	double
return	double

ToString() public method

Returns a System.String that represents this instance.

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