Uses of Interface
elki.math.statistics.distribution.estimator.MOMDistributionEstimator

Packages that use MOMDistributionEstimator

Package	Description
elki.math.statistics.distribution.estimator	Estimators for statistical distributions.
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.

Uses of MOMDistributionEstimator in elki.math.statistics.distribution.estimator

Subinterfaces of MOMDistributionEstimator in elki.math.statistics.distribution.estimator

Modifier and Type	Interface	Description
interface	MeanVarianceDistributionEstimator<D extends Distribution>	Interface for estimators that only need mean and variance.

Classes in elki.math.statistics.distribution.estimator that implement MOMDistributionEstimator

Modifier and Type	Class	Description
class	EMGOlivierNorbergEstimator	Naive distribution estimation using mean and sample variance.
class	ExponentialMOMEstimator	Estimate Exponential distribution parameters using the mean, which is the maximum-likelihood estimate (MLE), but not very robust.
class	GammaMOMEstimator	Simple parameter estimation for the Gamma distribution.
class	InverseGaussianMOMEstimator	Estimate parameter of the inverse Gaussian (Wald) distribution.
class	NormalMOMEstimator	Naive maximum-likelihood estimations for the normal distribution using mean and sample variance.

Uses of MOMDistributionEstimator in elki.math.statistics.distribution.estimator.meta

Fields in elki.math.statistics.distribution.estimator.meta with type parameters of type MOMDistributionEstimator

Modifier and Type	Field	Description
protected java.util.Collection<MOMDistributionEstimator<?>>	BestFitEstimator.momests	Mean and variance based estimators.