Package elki.math.statistics.distribution.estimator

Class LogNormalLogMOMEstimator

java.lang.Object

elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator

All Implemented Interfaces:

DistributionEstimator<LogNormalDistribution>, LogMeanVarianceEstimator<LogNormalDistribution>, LogMOMDistributionEstimator<LogNormalDistribution>

public class LogNormalLogMOMEstimator
extends java.lang.Object
implements LogMeanVarianceEstimator<LogNormalDistribution>

Naive distribution estimation using mean and sample variance. This is a maximum-likelihood-estimator (MLE).

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
LogNormalDistribution	estimateFromLogMeanVariance(MeanVariance mv, double shift)	Estimate the distribution from mean and variance.
java.lang.Class<? super LogNormalDistribution>	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.LogMeanVarianceEstimator

estimate, estimateFromLogStatisticalMoments

Field Detail

STATIC

public static final LogNormalLogMOMEstimator STATIC

Static estimator, using mean and variance.

Constructor Detail

LogNormalLogMOMEstimator

private LogNormalLogMOMEstimator()

Private constructor, use static instance!

Method Detail

estimateFromLogMeanVariance

public LogNormalDistribution estimateFromLogMeanVariance(MeanVariance mv,
                                                         double shift)

Description copied from interface: LogMeanVarianceEstimator

Estimate the distribution from mean and variance.

Specified by:

estimateFromLogMeanVariance in interface LogMeanVarianceEstimator<LogNormalDistribution>

Parameters:

mv - Mean and variance.

shift - Shift that was applied to avoid negative values.

Returns:

Distribution

getDistributionClass

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

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<LogNormalDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object