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