Package elki.math.statistics.distribution.estimator

Interface LMMDistributionEstimator<D extends Distribution>

Type Parameters:

D - Distribution class.

All Superinterfaces:

DistributionEstimator<D>

All Known Implementing Classes:

ExponentialLMMEstimator, GammaLMMEstimator, GeneralizedExtremeValueLMMEstimator, GeneralizedLogisticAlternateLMMEstimator, GeneralizedParetoLMMEstimator, GumbelLMMEstimator, LaplaceLMMEstimator, LogisticLMMEstimator, LogNormalBilkovaLMMEstimator, LogNormalLMMEstimator, NormalLMMEstimator, RayleighLMMEstimator, SkewGNormalLMMEstimator, UniformLMMEstimator, WeibullLMMEstimator

public interface LMMDistributionEstimator<D extends Distribution>
extends DistributionEstimator<D>

Interface for distribution estimators based on the methods of L-Moments (LMM).

Since:

0.6.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method	Description
default <A> D	estimate(A data, NumberArrayAdapter<?,A> adapter)	General form of the parameter estimation
D	estimateFromLMoments(double[] moments)	Estimate from the L-Moments.
int	getNumMoments()	The number of moments needed.

Methods inherited from interface elki.math.statistics.distribution.estimator.DistributionEstimator

estimate, getDistributionClass

Method Detail

estimateFromLMoments

D estimateFromLMoments(double[] moments)

Estimate from the L-Moments.

Parameters:

moments - L-Moments

Returns:

Distribution

getNumMoments

int getNumMoments()

The number of moments needed.

Returns:

Moments needed.

estimate

default <A> D estimate(A data,
                       NumberArrayAdapter<?,A> adapter)

Description copied from interface: DistributionEstimator

General form of the parameter estimation

Specified by:

estimate in interface DistributionEstimator<D extends Distribution>

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution