@Reference(title="Applied Robust Statistics", authors="D. J. Olive", booktitle="Applied Robust Statistics", url="http://lagrange.math.siu.edu/Olive/preprints.htm") public class WeibullLogMADEstimator extends AbstractLogMADEstimator<WeibullDistribution>
D. J. Olive
Applied Robust Statistics
Preprint of an upcoming book, 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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Class<? super WeibullDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
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computeMAD, estimate, toString
public static final WeibullLogMADEstimator STATIC
private WeibullLogMADEstimator()
public WeibullDistribution estimateFromLogMedianMAD(double median, double mad, double shift)
LogMADDistributionEstimator
estimateFromLogMedianMAD
in interface LogMADDistributionEstimator<WeibullDistribution>
estimateFromLogMedianMAD
in class AbstractLogMADEstimator<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 Class<? super WeibullDistribution> getDistributionClass()
DistributionEstimator
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