Package elki.math.statistics.distribution.estimator

Class GammaChoiWetteEstimator

java.lang.Object

elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator

All Implemented Interfaces:

DistributionEstimator<GammaDistribution>

@Reference(title="Maximum likelihood estimation of the parameters of the gamma distribution and their bias",
           authors="S. C. Choi, R. Wette",
           booktitle="Technometrics",
           url="https://doi.org/10.2307/1266892",
           bibkey="doi:10.2307/1266892")
public class GammaChoiWetteEstimator
extends java.lang.Object
implements DistributionEstimator<GammaDistribution>

Estimate distribution parameters using the method by Choi and Wette.

Reference:

Maximum likelihood estimation of the parameters of the gamma distribution and their bias
S. C. Choi, R. Wette
Technometrics

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	GammaChoiWetteEstimator.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
static GammaChoiWetteEstimator	STATIC	Static estimation, using iterative refinement.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	GammaChoiWetteEstimator()	Private constructor.

Method Summary

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

estimate

Field Detail

STATIC

public static final GammaChoiWetteEstimator STATIC

Static estimation, using iterative refinement.

Constructor Detail

GammaChoiWetteEstimator

private GammaChoiWetteEstimator()

Private constructor.

Method Detail

estimate

public <A> GammaDistribution estimate(A data,
                                      NumberArrayAdapter<?,A> adapter)

Description copied from interface: DistributionEstimator

General form of the parameter estimation

Specified by:

estimate in interface DistributionEstimator<GammaDistribution>

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution

getDistributionClass

public java.lang.Class<? super GammaDistribution> getDistributionClass()

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<GammaDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object