Package elki.math.statistics.distribution.estimator

Class EMGOlivierNorbergEstimator

java.lang.Object

elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator

All Implemented Interfaces:

DistributionEstimator<ExponentiallyModifiedGaussianDistribution>, MOMDistributionEstimator<ExponentiallyModifiedGaussianDistribution>

@Reference(authors="J. Olivier, M. M. Norberg",
           title="Positively skewed data: Revisiting the Box-Cox power transformation",
           booktitle="International Journal of Psychological Research 3(1)",
           url="https://doi.org/10.21500/20112084.846",
           bibkey="doi:10.21500/20112084.846")
public class EMGOlivierNorbergEstimator
extends java.lang.Object
implements MOMDistributionEstimator<ExponentiallyModifiedGaussianDistribution>

Naive distribution estimation using mean and sample variance.

Reference:

J. Olivier, M. M. Norberg
Positively skewed data: Revisiting the Box-Cox power transformation
International Journal of Psychological Research 3(1)

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field	Description
static EMGOlivierNorbergEstimator	STATIC	Static estimator class.

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
ExponentiallyModifiedGaussianDistribution	estimateFromStatisticalMoments(StatisticalMoments moments)	General form of the parameter estimation
java.lang.Class<? super ExponentiallyModifiedGaussianDistribution>	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

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

estimate

Field Detail

STATIC

public static final EMGOlivierNorbergEstimator STATIC

Static estimator class.

Constructor Detail

EMGOlivierNorbergEstimator

private EMGOlivierNorbergEstimator()

Private constructor, use static instance!

Method Detail

estimateFromStatisticalMoments

public ExponentiallyModifiedGaussianDistribution estimateFromStatisticalMoments(StatisticalMoments moments)

Description copied from interface: MOMDistributionEstimator

General form of the parameter estimation

Specified by:

estimateFromStatisticalMoments in interface MOMDistributionEstimator<ExponentiallyModifiedGaussianDistribution>

Parameters:

moments - Statistical moments

Returns:

Estimated distribution

getDistributionClass

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

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<ExponentiallyModifiedGaussianDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object