Package | Description |
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de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator |
Estimators for statistical distributions.
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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.
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Modifier and Type | Class and Description |
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class |
AbstractMADEstimator<D extends Distribution>
Abstract base class for estimators based on the median and MAD.
|
class |
CauchyMADEstimator
Estimate Cauchy distribution parameters using Median and MAD.
|
class |
ExponentialMADEstimator
Estimate Exponential distribution parameters using Median and MAD.
|
class |
ExponentialMedianEstimator
Estimate Exponential distribution parameters using Median and MAD.
|
class |
GammaMADEstimator
Robust parameter estimation for the Gamma distribution.
|
class |
GumbelMADEstimator
Parameter estimation via median and median absolute deviation from median
(MAD).
|
class |
LaplaceMADEstimator
Estimate Laplace distribution parameters using Median and MAD.
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class |
LogisticMADEstimator
Estimate Logistic distribution parameters using Median and MAD.
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class |
LogLogisticMADEstimator
Estimate Logistic distribution parameters using Median and MAD.
|
class |
NormalMADEstimator
Estimator using Medians.
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class |
RayleighMADEstimator
Estimate the parameters of a RayleighDistribution using the MAD.
|
class |
UniformMADEstimator
Estimate Uniform distribution parameters using Median and MAD.
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Modifier and Type | Field and Description |
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private Collection<MADDistributionEstimator<?>> |
BestFitEstimator.madests
Median average deviation from median estimators.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.