ExponentialDistributionFitToSample Method

Computes the exponential 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 ExponentialFitResult FitToSample(
	IReadOnlyList<double> sample
)

VB

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

C++

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

F#

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

Parameters

sample IReadOnlyListDouble: The sample to fit.

Return Value

ExponentialFitResult
The best fit parameter.

Remarks

The returned fit parameter is μ (the Mean). This is the same parameter that is required by the ExponentialDistribution(Double) constructor to specify a new exponential distribution.

Exceptions

ArgumentNullException	sample is null.
InsufficientDataException	sample contains fewer than two values.
ArgumentOutOfRangeException	sample contains non-positive values.