IMultivariateDistribution Interface 
Namespace: Accord.Statistics.Distributions
The IMultivariateDistribution type exposes the following members.
Name  Description  

Covariance 
Gets the VarianceCovariance matrix for the distribution.
 
Dimension 
Gets the number of variables for the distribution.
 
Mean 
Gets the Mean vector for the distribution.
 
Median 
Gets the Median vector for the distribution.
 
Mode 
Gets the Mode vector for the distribution.
 
Variance 
Gets the Variance vector for the distribution.

Name  Description  

Clone  Creates a new object that is a copy of the current instance. (Inherited from ICloneable.)  
ComplementaryDistributionFunction 
Gets the complementary cumulative distribution function
(ccdf) for this distribution evaluated at point x.
This function is also known as the Survival function.
(Inherited from IDistribution.)  
DistributionFunction 
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.)  
Fit(Array) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
Fit(Array, IFittingOptions) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
Fit(Array, Double) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
Fit(Array, Int32) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
Fit(Array, Double, IFittingOptions) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
Fit(Array, Int32, IFittingOptions) 
Fits the underlying distribution to a given set of observations.
(Inherited from IDistribution.)  
LogProbabilityFunction 
Gets the logprobability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistribution.)  
ProbabilityFunction 
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) 
This interface is implemented by both multivariate Discrete Distributions and Continuous Distributions.
For Univariate distributions, see IUnivariateDistribution.