@Alias(value="de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator") public class InverseGaussianMOMEstimator extends java.lang.Object implements MeanVarianceDistributionEstimator<InverseGaussianDistribution>
Modifier and Type | Class and Description |
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static class |
InverseGaussianMOMEstimator.Parameterizer
Parameterization class.
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Modifier and Type | Field and Description |
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static InverseGaussianMOMEstimator |
STATIC
Static instance.
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Constructor and Description |
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InverseGaussianMOMEstimator() |
Modifier and Type | Method and Description |
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InverseGaussianDistribution |
estimateFromMeanVariance(MeanVariance mv)
Estimate the distribution from mean and variance.
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java.lang.Class<? super InverseGaussianDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
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java.lang.String |
toString() |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
estimate, estimateFromStatisticalMoments
estimate
public static final InverseGaussianMOMEstimator STATIC
public InverseGaussianDistribution estimateFromMeanVariance(MeanVariance mv)
MeanVarianceDistributionEstimator
estimateFromMeanVariance
in interface MeanVarianceDistributionEstimator<InverseGaussianDistribution>
mv
- Mean and variance.public java.lang.Class<? super InverseGaussianDistribution> getDistributionClass()
DistributionEstimator
getDistributionClass
in interface DistributionEstimator<InverseGaussianDistribution>
public java.lang.String toString()
toString
in class java.lang.Object
Copyright © 2019 ELKI Development Team. License information.