Class GammaMOMEstimator
- java.lang.Object
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- elki.math.statistics.distribution.estimator.GammaMOMEstimator
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- 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
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
GammaMOMEstimator.Par
Parameterization class.
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Field Summary
Fields Modifier and Type Field Description static GammaMOMEstimator
STATIC
Static estimation using just the mean and variance.
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Constructor Summary
Constructors Modifier Constructor Description private
GammaMOMEstimator()
Private constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method 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()
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface elki.math.statistics.distribution.estimator.DistributionEstimator
estimate
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Methods inherited from interface elki.math.statistics.distribution.estimator.MeanVarianceDistributionEstimator
estimate, estimateFromStatisticalMoments
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Field Detail
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STATIC
public static final GammaMOMEstimator STATIC
Static estimation using just the mean and variance.
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Method Detail
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estimateFromMeanVariance
public GammaDistribution estimateFromMeanVariance(MeanVariance mv)
Description copied from interface:MeanVarianceDistributionEstimator
Estimate the distribution from mean and variance.- Specified by:
estimateFromMeanVariance
in interfaceMeanVarianceDistributionEstimator<GammaDistribution>
- Parameters:
mv
- Mean and variance.- Returns:
- Distribution
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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 interfaceDistributionEstimator<GammaDistribution>
- Returns:
- Distribution class
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toString
public java.lang.String toString()
- Overrides:
toString
in classjava.lang.Object
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