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IMultivariateDistributionTObservation Interface |
Common interface for multivariate probability distributions.
Namespace: Accord.Statistics.Distributions
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntaxpublic interface IMultivariateDistribution<in TObservation> : IDistribution<TObservation>, IDistribution, ICloneable
Type Parameters
- TObservation
The IMultivariateDistributionTObservation type exposes the following members.
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| Name | Description | |
|---|---|---|
 | Clone | Creates a new object that is a copy of the current instance. (Inherited from ICloneable.) |
| ComplementaryDistributionFunction(Double) |
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.) |
| ComplementaryDistributionFunction(TObservation) |
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 IDistributionTObservation.) |
| DistributionFunction(Double) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
| DistributionFunction(TObservation) |
Gets the cumulative distribution function (cdf) for
this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |
| 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(Double) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistribution.) |
| LogProbabilityFunction(TObservation) |
Gets the log-probability density function (pdf)
for this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |
| ProbabilityFunction(Double) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistribution.) |
| ProbabilityFunction(TObservation) |
Gets the probability density function (pdf) for
this distribution evaluated at point x.
(Inherited from IDistributionTObservation.) |
RemarksThis interface is implemented by both multivariate Discrete Distributions and Continuous Distributions. However, unlike IMultivariateDistribution, this interface has a generic parameter that allows to define the type of the distribution values (i.e. double).
For Univariate distributions, see IUnivariateDistribution.
See Also