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  • Extreme.Statistics.Distributions
    • BernoulliDistribution Class
    • BetaDistribution Class
    • BinomialDistribution Class
    • CauchyDistribution Class
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  • DirichletDistribution Class
    • DirichletDistribution Constructors
    • DirichletDistribution Properties
    • Methods
  • DirichletDistribution Constructors
    • DirichletDistribution Constructor (Matrix(Double))
    • DirichletDistribution Constructor (Matrix)
    • DirichletDistribution Constructor (NumericalVariable[])
    • DirichletDistribution Constructor (Vector(Double))
    • DirichletDistribution Constructor (Vector(Double)[])
    • DirichletDistribution Constructor (Vector)
  • DirichletDistribution Constructor (NumericalVariable[])
DirichletDistribution Constructor (NumericalVariable)Extreme Optimization Numerical Libraries for .NET Professional
Estimates the parameters of the distribution of a variable assuming it follows a normal distribution.

Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax

C#
VB
C++
F#
Copy
public DirichletDistribution(
	NumericalVariable[] variables
)
Public Sub New ( 
	variables As NumericalVariable()
)
public:
DirichletDistribution(
	array<NumericalVariable^>^ variables
)
new : 
        variables : NumericalVariable[] -> DirichletDistribution

Parameters

variables
Type: Extreme.StatisticsNumericalVariable
An array of NumericalVariable objects.

Return Value

Type: 
The DirichletDistribution that best matches the distribution of variables.
Exceptions

ExceptionCondition
ArgumentNullExceptionvariables is .
Remarks

Use this constructor to create a DirichletDistribution whose parameters are estimated from variables. This constructor uses an unbiased estimator.

Version Information

Numerical Libraries

Supported in: 5.x, 4.x
See Also

Reference

DirichletDistribution Class
DirichletDistribution Overload
Extreme.Statistics.Distributions Namespace

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