D
- Distribution to estimate.public abstract class AbstractMeanVarianceEstimator<D extends Distribution> extends AbstractMOMEstimator<D> implements MeanVarianceDistributionEstimator<D>
Constructor and Description |
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AbstractMeanVarianceEstimator()
Constructor.
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Modifier and Type | Method and Description |
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<A> D |
estimate(A data,
NumberArrayAdapter<?,A> adapter)
General form of the parameter estimation
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abstract D |
estimateFromMeanVariance(MeanVariance mv)
Estimate the distribution from mean and variance.
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D |
estimateFromStatisticalMoments(StatisticalMoments moments)
General form of the parameter estimation
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toString
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
getDistributionClass
public AbstractMeanVarianceEstimator()
public D estimateFromStatisticalMoments(StatisticalMoments moments)
MOMDistributionEstimator
estimateFromStatisticalMoments
in interface MOMDistributionEstimator<D extends Distribution>
estimateFromStatisticalMoments
in class AbstractMOMEstimator<D extends Distribution>
moments
- Statistical momentspublic abstract D estimateFromMeanVariance(MeanVariance mv)
MeanVarianceDistributionEstimator
estimateFromMeanVariance
in interface MeanVarianceDistributionEstimator<D extends Distribution>
mv
- Mean and variance.public <A> D estimate(A data, NumberArrayAdapter<?,A> adapter)
DistributionEstimator
estimate
in interface DistributionEstimator<D extends Distribution>
estimate
in class AbstractMOMEstimator<D extends Distribution>
data
- Data setadapter
- Number array adapterCopyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.