SampleMaximumLikelihoodFit Method
Performs a maximum likelihood fit.
Namespace: Meta.Numerics.StatisticsAssembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333
public DistributionFitResult<ContinuousDistribution> MaximumLikelihoodFit(
Func<IReadOnlyList<double>, ContinuousDistribution> factory,
IReadOnlyList<double> start
)
Public Function MaximumLikelihoodFit (
factory As Func(Of IReadOnlyList(Of Double), ContinuousDistribution),
start As IReadOnlyList(Of Double)
) As DistributionFitResult(Of ContinuousDistribution)
public:
DistributionFitResult<ContinuousDistribution^>^ MaximumLikelihoodFit(
Func<IReadOnlyList<double>^, ContinuousDistribution^>^ factory,
IReadOnlyList<double>^ start
)
member MaximumLikelihoodFit :
factory : Func<IReadOnlyList<float>, ContinuousDistribution> *
start : IReadOnlyList<float> -> DistributionFitResult<ContinuousDistribution>
- factory FuncIReadOnlyListDouble, ContinuousDistribution
- A function that returns a distribution when given its defining parameters.
- start IReadOnlyListDouble
- An initial guess for the defining parameters.
DistributionFitResultContinuousDistributionThe result of the fit, containing the parameters that result in the best fit,
covariance matrix among those parameters, and a test of the goodness of fit.