UnivariateMaximumLikelihoodFit Method
Finds the parameters that make an arbitrary, parameterized distribution best fit the sample.
Namespace: Meta.Numerics.StatisticsAssembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333
public static DistributionFitResult<ContinuousDistribution> MaximumLikelihoodFit(
this IReadOnlyList<double> sample,
Func<IReadOnlyDictionary<string, double>, ContinuousDistribution> factory,
IReadOnlyDictionary<string, double> start
)
<ExtensionAttribute>
Public Shared Function MaximumLikelihoodFit (
sample As IReadOnlyList(Of Double),
factory As Func(Of IReadOnlyDictionary(Of String, Double), ContinuousDistribution),
start As IReadOnlyDictionary(Of String, Double)
) As DistributionFitResult(Of ContinuousDistribution)
public:
[ExtensionAttribute]
static DistributionFitResult<ContinuousDistribution^>^ MaximumLikelihoodFit(
IReadOnlyList<double>^ sample,
Func<IReadOnlyDictionary<String^, double>^, ContinuousDistribution^>^ factory,
IReadOnlyDictionary<String^, double>^ start
)
[<ExtensionAttribute>]
static member MaximumLikelihoodFit :
sample : IReadOnlyList<float> *
factory : Func<IReadOnlyDictionary<string, float>, ContinuousDistribution> *
start : IReadOnlyDictionary<string, float> -> DistributionFitResult<ContinuousDistribution>
- sample IReadOnlyListDouble
- The sample.
- factory FuncIReadOnlyDictionaryString, Double, ContinuousDistribution
- A delegate that creates a distribution given its parameters.
- start IReadOnlyDictionaryString, Double
- An initial guess at the parameter values.
DistributionFitResultContinuousDistributionThe best fit parameters.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).