C# Class Accord.Statistics.Distributions.Multivariate.MultivariateContinuousDistribution

Inheritance: DistributionBase, IDistribution, IMultivariateDistribution

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Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
Fit ( double observations ) : IDistribution	Fits the underlying distribution to a given set of observations.
Fit ( double observations, double weights ) : IDistribution	Fits the underlying distribution to a given set of observations.
ProbabilityDensityFunction ( ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.

Méthode	Description
MultivariateContinuousDistribution ( int dimension ) : System	Constructs a new MultivariateDistribution class.

Méthode	Description
IDistribution ( Array observations ) : IDistribution	Fits the underlying distribution to a given set of observations. Although both double[] and double[][] arrays are supported, providing a double[] for a multivariate distribution or a double[][] for a univariate distribution may have a negative impact in performance.
IDistribution ( Array observations, double weights ) : IDistribution	Fits the underlying distribution to a given set of observations. Although both double[] and double[][] arrays are supported, providing a double[] for a multivariate distribution or a double[][] for a univariate distribution may have a negative impact in performance.
IDistribution ( ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.

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

public abstract Clone ( ) : object
Résultat	object

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

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

public abstract DistributionFunction ( ) : double
Résultat	double

Fits the underlying distribution to a given set of observations.

public Fit ( double observations ) : IDistribution
observations	double	/// The array of observations to fit the model against. ///
Résultat	IDistribution

Fits the underlying distribution to a given set of observations.

public abstract 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

Constructs a new MultivariateDistribution class.

protected MultivariateContinuousDistribution ( int dimension ) : System
dimension	int
Résultat	System

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

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

public abstract ProbabilityDensityFunction ( ) : double
Résultat	double