| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.math | 
 Mathematical operations and utilities used throughout the framework 
 | 
| de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator | 
 Estimators for statistical distributions. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static StatisticalMoments[] | 
StatisticalMoments.newArray(int dimensionality)
Create and initialize a new array of MeanVariance 
 | 
StatisticalMoments | 
StatisticalMoments.put(double[] vals)  | 
StatisticalMoments | 
StatisticalMoments.put(double[] vals,
   double[] weights)  | 
| Constructor and Description | 
|---|
StatisticalMoments(StatisticalMoments other)
Constructor from other instance 
 | 
| Modifier and Type | Method and Description | 
|---|---|
default D | 
LogMeanVarianceEstimator.estimateFromLogStatisticalMoments(StatisticalMoments moments,
                                 double shift)  | 
D | 
LogMOMDistributionEstimator.estimateFromLogStatisticalMoments(StatisticalMoments moments,
                                 double shift)
General form of the parameter estimation 
 | 
LogGammaDistribution | 
LogGammaLogMOMEstimator.estimateFromLogStatisticalMoments(StatisticalMoments mv,
                                 double shift)  | 
ExponentiallyModifiedGaussianDistribution | 
EMGOlivierNorbergEstimator.estimateFromStatisticalMoments(StatisticalMoments moments)  | 
default D | 
MeanVarianceDistributionEstimator.estimateFromStatisticalMoments(StatisticalMoments moments)  | 
D | 
MOMDistributionEstimator.estimateFromStatisticalMoments(StatisticalMoments moments)
General form of the parameter estimation 
 | 
Copyright © 2019 ELKI Development Team. License information.