|   | IMultivariateDistribution Interface | 
Namespace: Accord.Statistics.Distributions
 Syntax
SyntaxThe IMultivariateDistribution type exposes the following members.
 Properties
Properties| Name | Description | |
|---|---|---|
|  | Covariance | 
              Gets the Variance-Covariance 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.
             | 
 Methods
Methods| 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 log-probability 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.) | 
 Remarks
RemarksThis interface is implemented by both multivariate Discrete Distributions and Continuous Distributions.
For Univariate distributions, see IUnivariateDistribution.
 See Also
See Also