Package elki.math.statistics.distribution.estimator

Interface LogMOMDistributionEstimator<D extends Distribution>

Type Parameters:

D - Distribution estimated.

All Superinterfaces:

DistributionEstimator<D>

All Known Subinterfaces:

LogMeanVarianceEstimator<D>

All Known Implementing Classes:

LogGammaLogMOMEstimator, LogNormalLogMOMEstimator

public interface LogMOMDistributionEstimator<D extends Distribution>
extends DistributionEstimator<D>

Distribution estimators that use the method of moments (MOM) in logspace, i.e. that only need the statistical moments of a data set after logarithms.

Since:

0.6.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method	Description
default <A> D	estimate(A data, NumberArrayAdapter<?,A> adapter)	General form of the parameter estimation
D	estimateFromLogStatisticalMoments(StatisticalMoments moments, double shift)	General form of the parameter estimation
static <A> double	min(A data, NumberArrayAdapter<?,A> adapter, double minmin, double margin)	Utility function to find minimum and maximum values.

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

estimate, getDistributionClass

Method Detail

estimateFromLogStatisticalMoments

D estimateFromLogStatisticalMoments(StatisticalMoments moments,
                                    double shift)

General form of the parameter estimation

Parameters:

moments - Statistical moments

shift - Shifting offset that was used

Returns:

Estimated distribution

estimate

default <A> D estimate(A data,
                       NumberArrayAdapter<?,A> adapter)

Description copied from interface: DistributionEstimator

General form of the parameter estimation

Specified by:

estimate in interface DistributionEstimator<D extends Distribution>

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution

min

static <A> double min(A data,
                      NumberArrayAdapter<?,A> adapter,
                      double minmin,
                      double margin)

Utility function to find minimum and maximum values.

Type Parameters:

A - array type

Parameters:

data - Data array

adapter - Array adapter

minmin - Minimum value for minimum.

Returns:

Minimum