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

상속: DistributionBase, IDistribution, IMultivariateDistribution

공개 메소드들

메소드	설명
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.

메소드	설명
MultivariateContinuousDistribution ( int dimension ) : System	Constructs a new MultivariateDistribution class.

메소드	설명
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
리턴	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
리턴	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. ///
리턴	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. ///
리턴	IDistribution

Constructs a new MultivariateDistribution class.

protected MultivariateContinuousDistribution ( int dimension ) : System
dimension	int
리턴	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
리턴	double