@Reference(authors="D. J. Olive", title="Applied Robust Statistics", booktitle="", url="http://lagrange.math.siu.edu/Olive/preprints.htm", bibkey="books/Olive08") public class WeibullLogMADEstimator extends java.lang.Object implements LogMADDistributionEstimator<WeibullDistribution>
Reference:
D. J. Olive
Applied Robust Statistics
Preprint, University of Minnesota
Modifier and Type | Class and Description |
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static class |
WeibullLogMADEstimator.Parameterizer
Parameterization class.
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Modifier and Type | Field and Description |
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static WeibullLogMADEstimator |
STATIC
The more robust median based estimator.
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Modifier | Constructor and Description |
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private |
WeibullLogMADEstimator()
Constructor.
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Modifier and Type | Method and Description |
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WeibullDistribution |
estimateFromLogMedianMAD(double median,
double mad,
double shift)
General form of the parameter estimation
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java.lang.Class<? super WeibullDistribution> |
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
estimate
public static final WeibullLogMADEstimator STATIC
private WeibullLogMADEstimator()
public WeibullDistribution estimateFromLogMedianMAD(double median, double mad, double shift)
LogMADDistributionEstimator
estimateFromLogMedianMAD
in interface LogMADDistributionEstimator<WeibullDistribution>
median
- Median lof log values.mad
- Median absolute deviation from median (in logspace).shift
- Shift offset that was used to avoid negative values.public java.lang.Class<? super WeibullDistribution> getDistributionClass()
DistributionEstimator
getDistributionClass
in interface DistributionEstimator<WeibullDistribution>
public java.lang.String toString()
toString
in class java.lang.Object
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