gov.sandia.cognition.statistics.distribution

Class GammaDistribution.WeightedMomentMatchingEstimator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.distribution.GammaDistribution.WeightedMomentMatchingEstimator

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends WeightedValue<? extends java.lang.Double>>,GammaDistribution>, DistributionWeightedEstimator<java.lang.Double,GammaDistribution>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

GammaDistribution

public static class GammaDistribution.WeightedMomentMatchingEstimator
extends AbstractCloneableSerializable
implements DistributionWeightedEstimator<java.lang.Double,GammaDistribution>

Estimates the parameters of a Gamma distribution using the matching of moments, not maximum likelihood.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedMomentMatchingEstimator() Default constructor

Method Summary

Modifier and Type	Method and Description
GammaDistribution	learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Constructor Detail

WeightedMomentMatchingEstimator

public WeightedMomentMatchingEstimator()

Default constructor

Method Detail

learn

public GammaDistribution learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data)

Description copied from interface: BatchLearner

The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends WeightedValue<? extends java.lang.Double>>,GammaDistribution>

Parameters:

data - The data that the learning algorithm will use to create an object of ResultType.

Returns:

The object that is created based on the given data using the learning algorithm.