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

Inheritance: MultivariateContinuousDistribution

Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( ) : double	This method is not supported.
Fit ( double observations, double weights ) : IDistribution	Fits the underlying distribution to a given set of observations.
Generate ( int samples ) : double[][]	Generates a random vector of observations from the current distribution.
NormalDistribution ( double mean, double covariance ) : System	Constructs a multivariate Gaussian distribution with given mean vector and covariance matrix.
NormalDistribution ( int dimension ) : System	Constructs a multivariate Gaussian distribution with zero mean vector and unitary variance matrix.
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.

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

public Clone ( ) : object
Résultat	object

This method is not supported.

public DistributionFunction ( ) : double
Résultat	double

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

Generates a random vector of observations from the current distribution.

public Generate ( int samples ) : double[][]
samples	int	The number of samples to generate.
Résultat	double[][]

Constructs a multivariate Gaussian distribution with given mean vector and covariance matrix.

public NormalDistribution ( double mean, double covariance ) : System
mean	double
covariance	double
Résultat	System

Constructs a multivariate Gaussian distribution with zero mean vector and unitary variance matrix.

public NormalDistribution ( 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 ProbabilityDensityFunction ( ) : double
Résultat	double