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• Extreme.Statistics.Distributions
  • BernoulliDistribution Class
  • BetaDistribution Class
  • BinomialDistribution Class
  • CauchyDistribution Class
  • ChiSquareDistribution Class
  • ContinuousDistribution Class
  • ContinuousUniformDistribution Class
  • DirichletDistribution Class
  • DiscreteDistribution Class
  • DiscreteUniformDistribution Class
  • Distribution Class
  • ErlangDistribution Class
  • EstimationMethod Enumeration
  • ExponentialDistribution Class
  • FDistribution Class
  • GammaDistribution Class
  • GaussianMixtureDistribution Class
  • GeneralizedParetoDistribution Class
  • GenericDiscreteDistribution Class
  • GeometricDistribution Class
  • GumbelDistribution Class
  • HyperbolicDistribution Class
  • HypergeometricDistribution Class
  • InverseChiSquareDistribution Class
  • InverseGammaDistribution Class
  • InverseGaussianDistribution Class
  • InverseWeibullDistribution Class
  • LaplaceDistribution Class
  • LogarithmicSeriesDistribution Class
  • LogisticDistribution Class
  • LogLogisticDistribution Class
  • LognormalDistribution Class
  • MaxwellDistribution Class
  • MultivariateContinuousDistribution Class
  • MultivariateNormalDistribution Class
  • NegativeBinomialDistribution Class
  • NonCentralBetaDistribution Class
  • NonCentralChiSquareDistribution Class
  • NonCentralFDistribution Class
  • NonCentralStudentTDistribution Class
  • NormalDistribution Class
  • NormalInverseGaussianDistribution Class
  • ParetoDistribution Class
  • ParetoDistributionVariant Enumeration
  • PiecewiseDistribution Class
  • PoissonDistribution Class
  • RandomExtensions Class
  • RayleighDistribution Class
  • StudentTDistribution Class
  • TransformedBetaDistribution Class
  • TransformedGammaDistribution Class
  • TriangularDistribution Class
  • TruncatedDistribution Class
  • WeibullDistribution Class
  • WishartDistribution Class
• DirichletDistribution Class
  • DirichletDistribution Constructors
  • DirichletDistribution Properties
  • Methods
• Methods
  • GetMeans Method
  • GetParameters Method
  • GetVarianceCovarianceMatrix Method
  • LogProbabilityDensityFunction Method Overloads

DirichletDistribution Methods

Extreme Optimization Numerical Libraries for .NET Professional

The DirichletDistribution type exposes the following members.

Methods

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	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	FillSample(Random, VectorDouble)	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.)
	FillSample(Random, Vector)	Fills a vector with a random sample from the distribution. (Inherited from MultivariateContinuousDistribution.)
	FillSamples(Random, MatrixDouble)	Fills the rows of a matrix with random samples from the distribution. (Inherited from MultivariateContinuousDistribution.)
	FillSamples(Random, Matrix)	Fills the rows of a matrix with random samples from the distribution. (Inherited from MultivariateContinuousDistribution.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetMeans	Returns the mean or expectation value of the distribution. (Overrides MultivariateContinuousDistributionGetMeans.)
	GetParameters	Returns a copy of the parameters of the distribution.
	GetRandomVariate	Obsolete. Returns a random sample from the distribution. (Inherited from MultivariateContinuousDistribution.)
	GetRandomVariates	Returns a matrix with random samples from the distribution. (Inherited from MultivariateContinuousDistribution.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetVarianceCovarianceMatrix	Returns the variance of the distribution. (Overrides MultivariateContinuousDistributionGetVarianceCovarianceMatrix.)
	LogProbabilityDensityFunction(VectorDouble)	Returns the value of the probability density function (PDF) of this distribution for the specified value. (Overrides MultivariateContinuousDistributionLogProbabilityDensityFunction(VectorDouble).)
	LogProbabilityDensityFunction(Vector)	Returns the value of the probability density function (PDF) of this distribution for the specified value. (Overrides MultivariateContinuousDistributionLogProbabilityDensityFunction(Vector).)
	ProbabilityDensityFunction(VectorDouble)	Returns the value of the probability density function (PDF) of this distribution for the specified value. (Inherited from MultivariateContinuousDistribution.)
	ProbabilityDensityFunction(Vector)	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.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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See Also

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Reference

DirichletDistribution Class

Extreme.Statistics.Distributions Namespace

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