@Reference(authors="D. J. Olive", title="Applied Robust Statistics", booktitle="", url="http://lagrange.math.siu.edu/Olive/preprints.htm", bibkey="books/Olive08") public class LaplaceMADEstimator extends java.lang.Object implements MADDistributionEstimator<LaplaceDistribution>
Reference:
D. J. Olive
Applied Robust Statistics
Preprint, University of Minnesota
Modifier and Type | Class and Description |
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static class |
LaplaceMADEstimator.Parameterizer
Parameterization class.
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Modifier and Type | Field and Description |
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static LaplaceMADEstimator |
STATIC
Static instance.
|
Modifier | Constructor and Description |
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private |
LaplaceMADEstimator()
Private constructor, use static instance!
|
Modifier and Type | Method and Description |
---|---|
LaplaceDistribution |
estimateFromMedianMAD(double median,
double mad)
General form of the parameter estimation
|
java.lang.Class<? super LaplaceDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
|
java.lang.String |
toString() |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
computeMAD, computeMAD, estimate
estimate
public static final LaplaceMADEstimator STATIC
private LaplaceMADEstimator()
public LaplaceDistribution estimateFromMedianMAD(double median, double mad)
MADDistributionEstimator
estimateFromMedianMAD
in interface MADDistributionEstimator<LaplaceDistribution>
median
- Median valuemad
- Median absolute deviation from medianpublic java.lang.Class<? super LaplaceDistribution> getDistributionClass()
DistributionEstimator
getDistributionClass
in interface DistributionEstimator<LaplaceDistribution>
public java.lang.String toString()
toString
in class java.lang.Object
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