BetaDistributionGradient Method (Double, Double, Double)

Computes the Gradient of the Log-Likelihood function for estimating Beta distributions.

Namespace: Accord.Statistics.Distributions.Univariate
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

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public static double[] Gradient(
	double[] observations,
	double alpha,
	double beta
)

Public Shared Function Gradient ( 
	observations As Double(),
	alpha As Double,
	beta As Double
) As Double()

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Parameters

observations: Type: SystemDouble
The observed values.
alpha: Type: SystemDouble
The current alpha value.
beta: Type: SystemDouble
The current beta value.

Return Value

Type: Double
A bi-dimensional value containing the gradient w.r.t to alpha in its first position, and the gradient w.r.t to be in its second position.

Reference

BetaDistribution Class

Gradient Overload

Accord.Statistics.Distributions.Univariate Namespace

BetaDistributionAddLanguageSpecificTextSet("LST394A775F_0?cpp=::|nu=.");Gradient Method (AddLanguageSpecificTextSet("LST394A775F_1?cpp=array&lt;");DoubleAddLanguageSpecificTextSet("LST394A775F_2?cpp=&gt;|vb=()|nu=[]");, Double, Double)

Parameters

Return Value

Reference

BetaDistributionGradient Method (Double, Double, Double)