| CauchyMADEstimator |
Estimate Cauchy distribution parameters using Median and MAD.
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| DistributionEstimator |
Estimate distribution parameters from a sample.
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| EMGOlivierNorbergEstimator |
Naive distribution estimation using mean and sample variance.
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| ExpGammaExpMOMEstimator |
Simple parameter estimation for the ExpGamma distribution.
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| ExponentialLMMEstimator |
Estimate the parameters of a Gamma Distribution, using the methods of
L-Moments (LMM).
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| ExponentialMADEstimator |
Estimate Exponential distribution parameters using Median and MAD.
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| ExponentialMedianEstimator |
Estimate Exponential distribution parameters using Median and MAD.
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| ExponentialMOMEstimator |
Estimate Exponential distribution parameters using the mean, which is the
maximum-likelihood estimate (MLE), but not very robust.
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| GammaChoiWetteEstimator |
Estimate distribution parameters using the method by Choi and Wette.
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| GammaLMMEstimator |
Estimate the parameters of a Gamma Distribution, using the methods of
L-Moments (LMM).
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| GammaMOMEstimator |
Simple parameter estimation for the Gamma distribution.
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| GeneralizedExtremeValueLMMEstimator |
Estimate the parameters of a Generalized Extreme Value Distribution, using
the methods of L-Moments (LMM).
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| GeneralizedLogisticAlternateLMMEstimator |
Estimate the parameters of a Generalized Logistic Distribution, using the
methods of L-Moments (LMM).
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| GeneralizedParetoLMMEstimator |
Estimate the parameters of a Generalized Pareto Distribution (GPD), using the
methods of L-Moments (LMM).
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| GumbelLMMEstimator |
Estimate the parameters of a Gumbel Distribution, using the methods of
L-Moments (LMM).
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| GumbelMADEstimator |
Parameter estimation via median and median absolute deviation from median
(MAD).
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| InverseGaussianMLEstimator |
Estimate parameter of the inverse Gaussian (Wald) distribution.
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| InverseGaussianMOMEstimator |
Estimate parameter of the inverse Gaussian (Wald) distribution.
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| LaplaceLMMEstimator |
Estimate Laplace distribution parameters using the method of L-Moments (LMM).
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| LaplaceMADEstimator |
Estimate Laplace distribution parameters using Median and MAD.
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| LaplaceMLEEstimator |
Estimate Laplace distribution parameters using Median and mean deviation from
median.
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| LMMDistributionEstimator |
Interface for distribution estimators based on the methods of L-Moments
(LMM).
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| LogGammaLogMOMEstimator |
Simple parameter estimation for the LogGamma distribution.
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| LogisticLMMEstimator |
Estimate the parameters of a Logistic Distribution, using the methods of
L-Moments (LMM).
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| LogisticMADEstimator |
Estimate Logistic distribution parameters using Median and MAD.
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| LogLogisticMADEstimator |
Estimate Logistic distribution parameters using Median and MAD.
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| LogMADDistributionEstimator |
Distribuition estimators that use the method of moments (MOM) in logspace.
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| LogMeanVarianceEstimator |
Estimators that work on Mean and Variance only (i.e. the first two moments
only).
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| LogMOMDistributionEstimator |
Distribution estimators that use the method of moments (MOM) in logspace,
i.e. that only need the statistical moments of a data set after logarithms.
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| LogNormalBilkovaLMMEstimator |
Alternate estimate the parameters of a log Gamma Distribution, using the
methods of L-Moments (LMM) for the Generalized Normal Distribution.
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| LogNormalLevenbergMarquardtKDEEstimator |
Distribution parameter estimation using Levenberg-Marquardt iterative
optimization and a kernel density estimation.
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| LogNormalLMMEstimator |
Estimate the parameters of a log Normal Distribution, using the methods of
L-Moments (LMM) for the Generalized Normal Distribution.
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| LogNormalLogMADEstimator |
Estimator using Medians.
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| LogNormalLogMOMEstimator |
Naive distribution estimation using mean and sample variance.
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| MADDistributionEstimator |
Distribuition estimators that use the method of moments (MOM), i.e. that only
need the statistical moments of a data set.
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| MeanVarianceDistributionEstimator |
Interface for estimators that only need mean and variance.
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| MOMDistributionEstimator |
Distribution estimators that use the method of moments (MOM), i.e. that only
need the statistical moments of a data set.
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| NormalLevenbergMarquardtKDEEstimator |
Distribution parameter estimation using Levenberg-Marquardt iterative
optimization and a kernel density estimation.
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| NormalLMMEstimator |
Estimate the parameters of a normal distribution using the method of
L-Moments (LMM).
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| NormalMADEstimator |
Estimator using Medians.
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| NormalMOMEstimator |
Naive maximum-likelihood estimations for the normal distribution using mean
and sample variance.
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| RayleighLMMEstimator |
Estimate the scale parameter of a (non-shifted) RayleighDistribution using
the method of L-Moments (LMM).
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| RayleighMADEstimator |
Estimate the parameters of a RayleighDistribution using the MAD.
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| RayleighMLEEstimator |
Estimate the scale parameter of a (non-shifted) RayleighDistribution using a
maximum likelihood estimate.
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| SkewGNormalLMMEstimator |
Estimate the parameters of a skew Normal Distribution (Hoskin's Generalized
Normal Distribution), using the methods of L-Moments (LMM).
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| UniformEnhancedMinMaxEstimator |
Slightly improved estimation, that takes sample size into account and
enhances the interval appropriately.
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| UniformLMMEstimator |
Estimate the parameters of a normal distribution using the method of
L-Moments (LMM).
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| UniformMADEstimator |
Estimate Uniform distribution parameters using Median and MAD.
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| UniformMinMaxEstimator |
Estimate the uniform distribution by computing min and max.
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| WeibullLMMEstimator |
Estimate parameters of the Weibull distribution using the method of L-Moments
(LMM).
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| WeibullLogMADEstimator |
Parameter estimation via median and median absolute deviation from median
(MAD).
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