de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Interface MeanVarianceDistributionEstimator<D extends Distribution>

Type Parameters:

D - Distribution type

All Superinterfaces:

DistributionEstimator<D>, MOMDistributionEstimator<D>

All Known Implementing Classes:

ExponentialMOMEstimator, GammaMOMEstimator, InverseGaussianMOMEstimator, NormalMOMEstimator

public interface MeanVarianceDistributionEstimator<D extends Distribution>
extends MOMDistributionEstimator<D>

Interface for estimators that only need mean and variance. These can implicitely (obviously) also handle full statistical moments.

Since:

0.6.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method and Description
default <A> D	estimate(A data, NumberArrayAdapter<?,A> adapter) General form of the parameter estimation
D	estimateFromMeanVariance(MeanVariance mv) Estimate the distribution from mean and variance.
default D	estimateFromStatisticalMoments(StatisticalMoments moments) General form of the parameter estimation

Methods inherited from interface de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.DistributionEstimator

estimate, getDistributionClass

Method Detail

estimateFromMeanVariance

D estimateFromMeanVariance(MeanVariance mv)

Estimate the distribution from mean and variance.

Parameters:

mv - Mean and variance.

Returns:

Distribution

estimateFromStatisticalMoments

default D estimateFromStatisticalMoments(StatisticalMoments moments)

Description copied from interface: MOMDistributionEstimator

General form of the parameter estimation

Specified by:

estimateFromStatisticalMoments in interface MOMDistributionEstimator<D extends Distribution>

Parameters:

moments - Statistical moments

Returns:

Estimated distribution

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>

Specified by:

estimate in interface MOMDistributionEstimator<D extends Distribution>

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution