InverseGaussianMOMEstimator (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator

All Implemented Interfaces:

DistributionEstimator<InverseGaussianDistribution>, MeanVarianceDistributionEstimator<InverseGaussianDistribution>, MOMDistributionEstimator<InverseGaussianDistribution>
```
public class InverseGaussianMOMEstimator
extends java.lang.Object
implements MeanVarianceDistributionEstimator<InverseGaussianDistribution>
```
Estimate parameter of the inverse Gaussian (Wald) distribution.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class InverseGaussianMOMEstimator.Par
Parameterization class.

Field Summary

Fields
Modifier and Type Field Description

static InverseGaussianMOMEstimator STATIC
Static instance.

Constructor Summary

Constructors
Constructor Description

InverseGaussianMOMEstimator()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`InverseGaussianDistribution`	`estimateFromMeanVariance(MeanVariance mv)`	Estimate the distribution from mean and variance.
`java.lang.Class<? super InverseGaussianDistribution>`	`getDistributionClass()`	Get the class that is produced by the estimator.
`java.lang.String`	`toString()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface elki.math.statistics.distribution.estimator.DistributionEstimator
estimate

Methods inherited from interface elki.math.statistics.distribution.estimator.MeanVarianceDistributionEstimator
estimate, estimateFromStatisticalMoments

- Field Detail
  - STATIC
```
public static final InverseGaussianMOMEstimator STATIC
```
    Static instance.
- Constructor Detail
  - InverseGaussianMOMEstimator
```
public InverseGaussianMOMEstimator()
```
- Method Detail
  - estimateFromMeanVariance
```
public InverseGaussianDistribution estimateFromMeanVariance(MeanVariance mv)
```
    Description copied from interface: MeanVarianceDistributionEstimator
    
    Estimate the distribution from mean and variance.
    
    Specified by:
    
    estimateFromMeanVariance in interface MeanVarianceDistributionEstimator<InverseGaussianDistribution>
    
    Parameters:
    
    mv - Mean and variance.
    
    Returns:
    
    Distribution
  - getDistributionClass
```
public java.lang.Class<? super InverseGaussianDistribution> getDistributionClass()
```
    Description copied from interface: DistributionEstimator
    
    Get the class that is produced by the estimator.
    
    Specified by:
    
    getDistributionClass in interface DistributionEstimator<InverseGaussianDistribution>
    
    Returns:
    
    Distribution class
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object