DirichletDistribution Methods

Methods

EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
FillSample(Random, Vector<Double>) Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample(Random, Double[]) Fills a Double array with random numbers.
(Inherited from MultivariateContinuousDistribution)
FillSamples Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetMeans Returns the mean or expectation value of the distribution.
(Overrides MultivariateContinuousDistribution.GetMeans())
GetParameters Returns a copy of the parameters of the distribution.
GetTypeGets the Type of the current instance.
(Inherited from Object)
GetVarianceCovarianceMatrix Returns the variance of the distribution.
(Overrides MultivariateContinuousDistribution.GetVarianceCovarianceMatrix())
LogProbabilityDensityFunction Returns the natural logarithm of the probability density function (PDF) of this distribution for the specified value.
(Overrides MultivariateContinuousDistribution.LogProbabilityDensityFunction(Vector<Double>))
ProbabilityDensityFunction Returns the value of the probability density function (PDF) of this distribution for the specified value.
(Inherited from MultivariateContinuousDistribution)
Sample(Random) Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample(Random, Int32) Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
ToStringReturns a string that represents the current object.
(Inherited from Object)

See Also