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

Inheritance: UnivariateContinuousDistribution
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Méthodes publiques

Méthode 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 méthode

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

DistributionFunction() public méthode

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.
Résultat double

FDistribution() public méthode

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.
Résultat System

Fit() public méthode

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.
Résultat IDistribution

ProbabilityDensityFunction() public méthode

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.
Résultat double