MOMDistributionEstimator (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

Type Parameters:

D - Distribution estimated.

All Superinterfaces:

DistributionEstimator<D>

All Known Subinterfaces:

MeanVarianceDistributionEstimator<D>

All Known Implementing Classes:

EMGOlivierNorbergEstimator, ExponentialMOMEstimator, GammaMOMEstimator, InverseGaussianMOMEstimator, NormalMOMEstimator
```
public interface MOMDistributionEstimator<D extends Distribution>
extends DistributionEstimator<D>
```
Distribution estimators that use the method of moments (MOM), i.e. that only need the statistical moments of a data set.

Since:

0.6.0

Author:

Erich Schubert

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default <A> D`	`estimate(A data, NumberArrayAdapter<?,A> adapter)`	General form of the parameter estimation
`D`	`estimateFromStatisticalMoments(StatisticalMoments moments)`	General form of the parameter estimation

Methods inherited from interface elki.math.statistics.distribution.estimator.DistributionEstimator
estimate, getDistributionClass

- Method Detail
  - estimateFromStatisticalMoments
```
D estimateFromStatisticalMoments(StatisticalMoments moments)
```
    General form of the parameter estimation
    
    Parameters:
    
    moments - Statistical moments
    
    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