Multivariate
Methods
| Create | Represents the standard MultivariateNormalDistribution. |
| Distribution | Returns the cumulative distribution function (CDF) of this distribution for the specified value. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Fill |
Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution) |
| Fill |
Fills a Double array with random numbers.
(Inherited from MultivariateContinuousDistribution) |
| Fill |
Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution) |
| Get | Serves as the default hash function. (Inherited from Object) |
| Get |
Returns the mean or expectation value of the distribution.
(Overrides MultivariateContinuousDistribution.GetMeans()) |
| Get | Gets the Type of the current instance. (Inherited from Object) |
| Get |
Returns the variance of the distribution.
(Overrides MultivariateContinuousDistribution.GetVarianceCovarianceMatrix()) |
| Log |
Returns the natural logarithm of the probability density function
(PDF) of this distribution for the specified value.
(Overrides MultivariateContinuousDistribution.LogProbabilityDensityFunction(Vector<Double>)) |
| Probability |
Returns the value of the probability density function
(PDF) of this distribution for the specified value.
(Inherited from MultivariateContinuousDistribution) |
| Sample( |
Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution) |
| Sample( |
Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |