Package elki.math.statistics.distribution.estimator

Interface DistributionEstimator<D extends Distribution>

Type Parameters:

D - Distribution type

All Known Subinterfaces:

LMMDistributionEstimator<D>, LogMADDistributionEstimator<D>, LogMeanVarianceEstimator<D>, LogMOMDistributionEstimator<D>, MADDistributionEstimator<D>, MeanVarianceDistributionEstimator<D>, MOMDistributionEstimator<D>

All Known Implementing Classes:

BestFitEstimator, CauchyMADEstimator, EMGOlivierNorbergEstimator, ExpGammaExpMOMEstimator, ExponentialLMMEstimator, ExponentialMADEstimator, ExponentialMedianEstimator, ExponentialMOMEstimator, GammaChoiWetteEstimator, GammaLMMEstimator, GammaMOMEstimator, GeneralizedExtremeValueLMMEstimator, GeneralizedLogisticAlternateLMMEstimator, GeneralizedParetoLMMEstimator, GumbelLMMEstimator, GumbelMADEstimator, InverseGaussianMLEstimator, InverseGaussianMOMEstimator, LaplaceLMMEstimator, LaplaceMADEstimator, LaplaceMLEEstimator, LogGammaLogMOMEstimator, LogisticLMMEstimator, LogisticMADEstimator, LogLogisticMADEstimator, LogNormalBilkovaLMMEstimator, LogNormalLevenbergMarquardtKDEEstimator, LogNormalLMMEstimator, LogNormalLogMADEstimator, LogNormalLogMOMEstimator, NormalLevenbergMarquardtKDEEstimator, NormalLMMEstimator, NormalMADEstimator, NormalMOMEstimator, RayleighLMMEstimator, RayleighMADEstimator, RayleighMLEEstimator, SkewGNormalLMMEstimator, TrimmedEstimator, UniformEnhancedMinMaxEstimator, UniformLMMEstimator, UniformMADEstimator, UniformMinMaxEstimator, WeibullLMMEstimator, WeibullLogMADEstimator, WinsorizingEstimator

public interface DistributionEstimator<D extends Distribution>

Estimate distribution parameters from a sample.

Since:

0.6.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method	Description
default D	estimate(double[] data)	General form of the parameter estimation
<A> D	estimate(A data, NumberArrayAdapter<?,A> adapter)	General form of the parameter estimation
java.lang.Class<? super D>	getDistributionClass()	Get the class that is produced by the estimator.

Method Detail

estimate

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

General form of the parameter estimation

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution

estimate

default D estimate(double[] data)

General form of the parameter estimation

Parameters:

data - Data set

Returns:

Estimated distribution

getDistributionClass

java.lang.Class<? super D> getDistributionClass()

Get the class that is produced by the estimator.

Returns:

Distribution class