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

Class GammaMOMEstimator

java.lang.Object

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

All Implemented Interfaces:

DistributionEstimator<GammaDistribution>, MeanVarianceDistributionEstimator<GammaDistribution>, MOMDistributionEstimator<GammaDistribution>

@Reference(authors="G. Casella, R. L. Berger",
           title="Point Estimation (Chapter 7)",
           booktitle="Statistical inference. Vol. 70",
           bibkey="books/duxbury/CasellaB90/Ch7")
public class GammaMOMEstimator
extends java.lang.Object
implements MeanVarianceDistributionEstimator<GammaDistribution>

Simple parameter estimation for the Gamma distribution.

This is a very naive estimation, based on the mean and variance only, sometimes referred to as the "Method of Moments" (MOM).

Reference:

G. Casella, R. L. Berger
Point Estimation (Chapter 7)
Statistical inference. Vol. 70

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GammaMOMEstimator.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
static GammaMOMEstimator	STATIC Static estimation using just the mean and variance.

Constructor Summary

Constructors

Modifier	Constructor and Description
private	GammaMOMEstimator() Private constructor.

Method Summary

Modifier and Type	Method and Description
GammaDistribution	estimateFromMeanVariance(MeanVariance mv) Estimate the distribution from mean and variance.
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 de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.MeanVarianceDistributionEstimator

estimate, estimateFromStatisticalMoments

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

estimate

Field Detail

STATIC

public static final GammaMOMEstimator STATIC

Static estimation using just the mean and variance.

Constructor Detail

GammaMOMEstimator

private GammaMOMEstimator()

Private constructor.

Method Detail

estimateFromMeanVariance

public GammaDistribution estimateFromMeanVariance(MeanVariance mv)

Description copied from interface: MeanVarianceDistributionEstimator

Estimate the distribution from mean and variance.

Specified by:

estimateFromMeanVariance in interface MeanVarianceDistributionEstimator<GammaDistribution>

Parameters:

mv - Mean and variance.

Returns:

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