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

Inheritance: UnivariateContinuousDistribution, IFormattable
Datei anzeigen 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