Package | Description |
---|---|
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator |
Estimators for statistical distributions.
|
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.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractLogMeanVarianceEstimator<D extends Distribution>
Estimators that work on Mean and Variance only (i.e. the first two moments
only).
|
class |
AbstractLogMOMEstimator<D extends Distribution>
Abstract base class for estimators based on the statistical moments.
|
class |
LogGammaLogMOMEstimator
Simple parameter estimation for the Gamma distribution.
|
class |
LogNormalLogMOMEstimator
Naive distribution estimation using mean and sample variance.
|
Modifier and Type | Field and Description |
---|---|
private Collection<LogMOMDistributionEstimator<?>> |
BestFitEstimator.logmomests
Logspace Method of Moments estimators.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.