gov.sandia.cognition.statistics.distribution

Class BetaBinomialDistribution.MomentMatchingEstimator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution.MomentMatchingEstimator

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends java.lang.Number>,BetaBinomialDistribution>, DistributionEstimator<java.lang.Number,BetaBinomialDistribution>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

BetaBinomialDistribution

@PublicationReference(author={"Ram C. Tripathi","Ramesh C. Gupta","John Gurland"},
                      title="Estimation of parameters in the beta binomial model",
                      type=Journal,
                      publication="Annals of the Institute of Statistical Mathematics",
                      year=1994,
                      pages={317,331},
                      notes="Equation 2.11")
public static class BetaBinomialDistribution.MomentMatchingEstimator
extends AbstractCloneableSerializable
implements DistributionEstimator<java.lang.Number,BetaBinomialDistribution>

Estimates the parameters of a Beta-binomial distribution using the matching of moments, not maximum likelihood.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MomentMatchingEstimator() Default constructor

Method Summary

Modifier and Type	Method and Description
BetaBinomialDistribution	learn(java.util.Collection<? extends java.lang.Number> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.
static BetaBinomialDistribution.PMF	learn(int N, double mean, double variance) Computes the Beta-Binomial distribution describes by the given moments

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

MomentMatchingEstimator

public MomentMatchingEstimator()

Default constructor

Method Detail

learn

public BetaBinomialDistribution learn(java.util.Collection<? extends java.lang.Number> 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 java.lang.Number>,BetaBinomialDistribution>

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.

learn

public static BetaBinomialDistribution.PMF learn(int N,
                                                 double mean,
                                                 double variance)

Computes the Beta-Binomial distribution describes by the given moments

Parameters:

N - Number of trials

mean - Mean of the distribution

variance - Variance of the distribution

Returns:

Beta-Binomial distribution that has the same mean/variance as the given parameters.