LognormalDistributionFitToSample Method

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

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public static LognormalFitResult FitToSample(
	Sample sample
)

Public Shared Function FitToSample ( 
	sample As Sample
) As LognormalFitResult

public:
static LognormalFitResult^ FitToSample(
	Sample^ sample
)

static member FitToSample : 
        sample : Sample -> LognormalFitResult

Parameters

sample: Type: Meta.Numerics.StatisticsSample
The sample to fit.

Return Value

Type: LognormalFitResult
The best fit parameters.

Exceptions

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

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.

Reference

LognormalDistribution Class

Meta.Numerics.Statistics.Distributions Namespace

LognormalDistributionAddLanguageSpecificTextSet("LST2C986C0_0?cpp=::|nu=.");FitToSample Method

Parameters

Return Value

Reference

LognormalDistributionFitToSample Method