@Reference(authors="J. Olivier, M. M. Norberg", title="Positively skewed data: Revisiting the Box-Cox power transformation", booktitle="International Journal of Psychological Research Vol. 3 No. 1") public class EMGOlivierNorbergEstimator extends AbstractMOMEstimator<ExponentiallyModifiedGaussianDistribution>
Modifier and Type | Class and Description |
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static class |
EMGOlivierNorbergEstimator.Parameterizer
Parameterization class.
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Modifier and Type | Field and Description |
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static EMGOlivierNorbergEstimator |
STATIC
Static estimator class.
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Modifier | Constructor and Description |
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private |
EMGOlivierNorbergEstimator()
Private constructor, use static instance!
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Modifier and Type | Method and Description |
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ExponentiallyModifiedGaussianDistribution |
estimateFromStatisticalMoments(StatisticalMoments moments)
General form of the parameter estimation
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Class<? super ExponentiallyModifiedGaussianDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
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estimate, toString
public static EMGOlivierNorbergEstimator STATIC
private EMGOlivierNorbergEstimator()
public ExponentiallyModifiedGaussianDistribution estimateFromStatisticalMoments(StatisticalMoments moments)
MOMDistributionEstimator
estimateFromStatisticalMoments
in interface MOMDistributionEstimator<ExponentiallyModifiedGaussianDistribution>
estimateFromStatisticalMoments
in class AbstractMOMEstimator<ExponentiallyModifiedGaussianDistribution>
moments
- Statistical momentspublic Class<? super ExponentiallyModifiedGaussianDistribution> getDistributionClass()
DistributionEstimator
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