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UnivariateMaximumLikelihoodFit Method

Finds the parameters that make an arbitrary, parameterized distribution best fit the sample.

Namespace:  Meta.Numerics.Statistics
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4
public static DistributionFitResult<ContinuousDistribution> MaximumLikelihoodFit(
	this IReadOnlyList<double> sample,
	Func<IReadOnlyDictionary<string, double>, ContinuousDistribution> factory,
	IReadOnlyDictionary<string, double> start


Type: System.Collections.GenericIReadOnlyListDouble
The sample.
Type: SystemFuncIReadOnlyDictionaryString, Double, ContinuousDistribution
A delegate that creates a distribution given its parameters.
Type: System.Collections.GenericIReadOnlyDictionaryString, Double
An initial guess at the parameter values.

Return Value

Type: DistributionFitResultContinuousDistribution
The best fit parameters.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type IReadOnlyListDouble. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).
See Also