gov.sandia.cognition.statistics.distribution

Class UniformIntegerDistribution.MaximumLikelihoodEstimator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution.MaximumLikelihoodEstimator

All Implemented Interfaces:

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

Enclosing class:

UniformIntegerDistribution

@PublicationReference(author="Wikipedia",
                      title="German tank problem",
                      type=WebPage,
                      year=2010,
                      url="http://en.wikipedia.org/wiki/German_tank_problem")
public static class UniformIntegerDistribution.MaximumLikelihoodEstimator
extends AbstractCloneableSerializable
implements DistributionEstimator<java.lang.Number,UniformIntegerDistribution>

Implements a maximum likelihood estimator for the discrete uniform distribution.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MaximumLikelihoodEstimator() Creates a new UniformIntegerDistribution.MaximumLikelihoodEstimator.

Method Summary

Modifier and Type	Method and Description
UniformIntegerDistribution.PMF	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.

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

MaximumLikelihoodEstimator

public MaximumLikelihoodEstimator()

Creates a new UniformIntegerDistribution.MaximumLikelihoodEstimator.

Method Detail

learn

public UniformIntegerDistribution.PMF 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>,UniformIntegerDistribution>

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.