gov.sandia.cognition.statistics.distribution

Class PoissonDistribution.WeightedMaximumLikelihoodEstimator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.distribution.PoissonDistribution.WeightedMaximumLikelihoodEstimator

All Implemented Interfaces:

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

Enclosing class:

PoissonDistribution

public static class PoissonDistribution.WeightedMaximumLikelihoodEstimator
extends AbstractCloneableSerializable
implements DistributionWeightedEstimator<java.lang.Number,PoissonDistribution>

Creates a PoissonDistribution from weighted data.

Since:

3.3.3

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedMaximumLikelihoodEstimator() Creates a new WeightedMaximumLikelihoodEstimator.

Method Summary

Modifier and Type	Method and Description
PoissonDistribution.PMF	learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Number>> data) Creates a new instance of PoissonDistribution using a weighted Maximum Likelihood estimate based on the given data.

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

WeightedMaximumLikelihoodEstimator

public WeightedMaximumLikelihoodEstimator()

Creates a new WeightedMaximumLikelihoodEstimator.

Method Detail

learn

public PoissonDistribution.PMF learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Number>> data)

Creates a new instance of PoissonDistribution using a weighted Maximum Likelihood estimate based on the given data.

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends WeightedValue<? extends java.lang.Number>>,PoissonDistribution>

Parameters:

data - Weighed pairs of data (first is data, second is weight) that was generated by some unknown PoissonDistribution distribution.

Returns:

Maximum Likelihood PoissonDistribution that generated the data.