LognormalDistributionFitToSample Method

Computes the log-normal distribution that best fits the given sample.

Definition

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public static LognormalFitResult FitToSample(
	IReadOnlyList<double> sample
)

VB

Public Shared Function FitToSample ( 
	sample As IReadOnlyList(Of Double)
) As LognormalFitResult

C++

public:
static LognormalFitResult^ FitToSample(
	IReadOnlyList<double>^ sample
)

F#

static member FitToSample : 
        sample : IReadOnlyList<float> -> LognormalFitResult

Parameters

sample IReadOnlyListDouble: The sample to fit.

Return Value

LognormalFitResult
The best fit parameters.

Remarks

The returned fit parameters are the μ (Mu) and σ (Sigma) parameters, in that order. These are the same parameters, in the same order, that are required by the LognormalDistribution(Double, Double) constructor to specify a new log-normal distribution.

Exceptions

ArgumentNullException	sample is null.
InsufficientDataException	sample contains fewer than three values.
InvalidOperationException	sample contains non-positive values.