D
- Distribution to estimate.public abstract class AbstractLogMeanVarianceEstimator<D extends Distribution> extends AbstractLogMOMEstimator<D>
Constructor and Description |
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AbstractLogMeanVarianceEstimator()
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 |
estimateFromLogMeanVariance(MeanVariance mv,
double shift)
Estimate the distribution from mean and variance.
|
D |
estimateFromLogStatisticalMoments(StatisticalMoments moments,
double shift)
General form of the parameter estimation
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min, toString
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
getDistributionClass
public AbstractLogMeanVarianceEstimator()
public D estimateFromLogStatisticalMoments(StatisticalMoments moments, double shift)
LogMOMDistributionEstimator
estimateFromLogStatisticalMoments
in interface LogMOMDistributionEstimator<D extends Distribution>
estimateFromLogStatisticalMoments
in class AbstractLogMOMEstimator<D extends Distribution>
moments
- Statistical momentsshift
- Shifting offset that was usedpublic abstract D estimateFromLogMeanVariance(MeanVariance mv, double shift)
mv
- Mean and variance.shift
- Shift that was applied to avoid negative values.public <A> D estimate(A data, NumberArrayAdapter<?,A> adapter)
DistributionEstimator
estimate
in interface DistributionEstimator<D extends Distribution>
estimate
in class AbstractLogMOMEstimator<D extends Distribution>
data
- Data setadapter
- Number array adapterCopyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.