Uses of Interface
gov.sandia.cognition.statistics.DistributionWeightedEstimator

Packages that use DistributionWeightedEstimator

Package	Description
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.

Uses of DistributionWeightedEstimator in gov.sandia.cognition.statistics

Methods in gov.sandia.cognition.statistics that return DistributionWeightedEstimator

Modifier and Type	Method and Description
DistributionWeightedEstimator<ObservationType,? extends DistributionType>	EstimableWeightedDistribution.getWeightedEstimator() Gets an estimator associated with this distribution for weighted data

Uses of DistributionWeightedEstimator in gov.sandia.cognition.statistics.distribution

Classes in gov.sandia.cognition.statistics.distribution that implement DistributionWeightedEstimator

Modifier and Type	Class and Description
static class	BetaDistribution.WeightedMomentMatchingEstimator Estimates the parameters of a Beta distribution using the matching of moments, not maximum likelihood.
static class	DefaultDataDistribution.WeightedEstimator<KeyType> A weighted estimator for a DefaultDataDistribution
static class	ExponentialDistribution.WeightedMaximumLikelihoodEstimator Creates a ExponentialDistribution from weighted data
static class	GammaDistribution.WeightedMomentMatchingEstimator Estimates the parameters of a Gamma distribution using the matching of moments, not maximum likelihood.
static class	LaplaceDistribution.WeightedMaximumLikelihoodEstimator Creates a UnivariateGaussian from weighted data
static class	LogNormalDistribution.WeightedMaximumLikelihoodEstimator Maximum Likelihood Estimator from weighted data
static class	MultivariateGaussian.WeightedMaximumLikelihoodEstimator Computes the Weighted Maximum Likelihood Estimate of the MultivariateGaussian given a weighted set of Vectors
static class	NegativeBinomialDistribution.WeightedMaximumLikelihoodEstimator Weighted maximum likelihood estimator of the distribution
static class	PoissonDistribution.WeightedMaximumLikelihoodEstimator Creates a PoissonDistribution from weighted data.
static class	StudentTDistribution.WeightedMaximumLikelihoodEstimator Creates a UnivariateGaussian from weighted data
static class	UnivariateGaussian.WeightedMaximumLikelihoodEstimator Creates a UnivariateGaussian from weighted data

Methods in gov.sandia.cognition.statistics.distribution that return types with arguments of type DistributionWeightedEstimator

Modifier and Type	Method and Description
java.util.Collection<? extends DistributionWeightedEstimator<java.lang.Double,? extends SmoothUnivariateDistribution>>	ScalarMixtureDensityModel.EMLearner.getLearners() Getter for learners

Method parameters in gov.sandia.cognition.statistics.distribution with type arguments of type DistributionWeightedEstimator

Modifier and Type	Method and Description
void	ScalarMixtureDensityModel.EMLearner.setLearners(java.util.Collection<? extends DistributionWeightedEstimator<java.lang.Double,? extends SmoothUnivariateDistribution>> learners) Setter for learners

Constructors in gov.sandia.cognition.statistics.distribution with parameters of type DistributionWeightedEstimator

Constructor and Description
EMLearner(int numClusters, DistributionWeightedEstimator<java.lang.Double,? extends SmoothUnivariateDistribution> learner, java.util.Random random) Creates a new instance of EMLearner

Constructor parameters in gov.sandia.cognition.statistics.distribution with type arguments of type DistributionWeightedEstimator

Constructor and Description
EMLearner(java.util.Random random, java.util.Collection<? extends DistributionWeightedEstimator<java.lang.Double,? extends SmoothUnivariateDistribution>> learners) Creates a new instance of EMLearner