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

Class InverseGaussianMOMEstimator

java.lang.Object

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

All Implemented Interfaces:

DistributionEstimator<InverseGaussianDistribution>, MeanVarianceDistributionEstimator<InverseGaussianDistribution>, MOMDistributionEstimator<InverseGaussianDistribution>

@Alias(value="de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator")
public class InverseGaussianMOMEstimator
extends java.lang.Object
implements MeanVarianceDistributionEstimator<InverseGaussianDistribution>

Estimate parameter of the inverse Gaussian (Wald) distribution.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
static InverseGaussianMOMEstimator	STATIC Static instance.

Constructor Summary

Constructors

Constructor and Description
InverseGaussianMOMEstimator()

Method Summary

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

Static instance.

Constructor Detail

InverseGaussianMOMEstimator

public InverseGaussianMOMEstimator()

Method Detail

estimateFromMeanVariance

public InverseGaussianDistribution estimateFromMeanVariance(MeanVariance mv)

Description copied from interface: MeanVarianceDistributionEstimator

Estimate the distribution from mean and variance.

Specified by:

estimateFromMeanVariance in interface MeanVarianceDistributionEstimator<InverseGaussianDistribution>

Parameters:

mv - Mean and variance.

Returns:

Distribution

getDistributionClass

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

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<InverseGaussianDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object