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

Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.

See: Description

Class Summary

Class	Description
BestFitEstimator	A meta estimator that will try a number of (inexpensive) estimations, then choose whichever works best.
BestFitEstimator.Parameterizer	Parameterization class.
TrimmedEstimator<D extends Distribution>	Trimmed wrapper around other estimators.
TrimmedEstimator.Parameterizer<D extends Distribution>	Parameterization class.
WinsorisingEstimator<D extends Distribution>	Winsorising or Georgization estimator.
WinsorisingEstimator.Parameterizer<D extends Distribution>	Parameterization class.

Package de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta Description

Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.

Author:

Erich Schubert