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

Inheritance: UnivariateContinuousDistribution
Datei anzeigen Open project: atosorigin/Kinect Class Usage Examples

Public Methods

Method Description
Clone ( ) : object

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

DistributionFunction ( double x ) : double

Gets the cumulative distribution function (cdf) for the F-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.

FDistribution ( int degrees1, int degrees2 ) : System

Constructs a F-distribution with the given degrees of freedom.

Fit ( double observations, double weights ) : IDistribution

Fits the underlying distribution to a given set of observations.

ProbabilityDensityFunction ( double x ) : double

Gets the probability density function (pdf) for the F-distribution evaluated at point x.

The Probability Density Function (PDF) describes the probability that a given value x will occur.

Method Details

Clone() public method

Creates a new object that is a copy of the current instance.
public Clone ( ) : object
return object

DistributionFunction() public method

Gets the cumulative distribution function (cdf) for the F-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

FDistribution() public method

Constructs a F-distribution with the given degrees of freedom.
public FDistribution ( int degrees1, int degrees2 ) : System
degrees1 int The first degree of freedom.
degrees2 int The second degree of freedom.
return System

Fit() public method

Fits the underlying distribution to a given set of observations.
public Fit ( double observations, double weights ) : IDistribution
observations double The array of observations to fit the model against.
weights double The weight vector containing the weight for each of the samples.
return IDistribution

ProbabilityDensityFunction() public method

Gets the probability density function (pdf) for the F-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.
return double