@Reference(title="Maximum likelihood estimation of the parameters of the gamma distribution and their bias", authors="S. C. Choi, R. Wette", booktitle="Technometrics", url="http://www.jstor.org/stable/10.2307/1266892") public class LogGammaChoiWetteEstimator extends Object implements DistributionEstimator<LogGammaDistribution>
Maximum likelihood estimation of the parameters of the gamma distribution and
their bias
S. C. Choi, R. Wette
in: Technometrics
Modifier and Type | Class and Description |
---|---|
static class |
LogGammaChoiWetteEstimator.Parameterizer
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
static LogGammaChoiWetteEstimator |
STATIC
Static estimation, using iterative refinement.
|
Modifier | Constructor and Description |
---|---|
private |
LogGammaChoiWetteEstimator()
Private constructor.
|
Modifier and Type | Method and Description |
---|---|
<A> LogGammaDistribution |
estimate(A data,
NumberArrayAdapter<?,A> adapter)
General form of the parameter estimation
|
Class<? super LogGammaDistribution> |
getDistributionClass()
Get the class that is produced by the estimator.
|
String |
toString() |
public static final LogGammaChoiWetteEstimator STATIC
private LogGammaChoiWetteEstimator()
public <A> LogGammaDistribution estimate(A data, NumberArrayAdapter<?,A> adapter)
DistributionEstimator
estimate
in interface DistributionEstimator<LogGammaDistribution>
data
- Data setadapter
- Number array adapterpublic Class<? super LogGammaDistribution> getDistributionClass()
DistributionEstimator
getDistributionClass
in interface DistributionEstimator<LogGammaDistribution>
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.