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

Class NormalMOMEstimator

java.lang.Object

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

All Implemented Interfaces:

DistributionEstimator<NormalDistribution>, MeanVarianceDistributionEstimator<NormalDistribution>, MOMDistributionEstimator<NormalDistribution>

public class NormalMOMEstimator
extends java.lang.Object
implements MeanVarianceDistributionEstimator<NormalDistribution>

Naive maximum-likelihood estimations for the normal distribution using mean and sample variance. While this is the most commonly used estimator, it is not very robust against extreme values.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
static NormalMOMEstimator	STATIC Static estimator, using mean and variance.

Constructor Summary

Constructors

Modifier	Constructor and Description
private	NormalMOMEstimator() Private constructor, use static instance!

Method Summary

Modifier and Type	Method and Description
NormalDistribution	estimateFromMeanVariance(MeanVariance mv) Estimate the distribution from mean and variance.
java.lang.Class<? super NormalDistribution>	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 NormalMOMEstimator STATIC

Static estimator, using mean and variance.

Constructor Detail

NormalMOMEstimator

private NormalMOMEstimator()

Private constructor, use static instance!

Method Detail

estimateFromMeanVariance

public NormalDistribution estimateFromMeanVariance(MeanVariance mv)

Description copied from interface: MeanVarianceDistributionEstimator

Estimate the distribution from mean and variance.

Specified by:

estimateFromMeanVariance in interface MeanVarianceDistributionEstimator<NormalDistribution>

Parameters:

mv - Mean and variance.

Returns:

Distribution

getDistributionClass

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

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<NormalDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object