gov.sandia.cognition.statistics

Interface DistributionWithMean<DataType>

Type Parameters:

DataType - Type of data in the domain

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, Distribution<DataType>, java.io.Serializable

All Known Subinterfaces:

ClosedFormComputableDiscreteDistribution<DataType>, ClosedFormComputableDistribution<DataType>, ClosedFormCumulativeDistributionFunction<DomainType>, ClosedFormDiscreteUnivariateDistribution<DomainType>, ClosedFormDistribution<DataType>, ClosedFormUnivariateDistribution<NumberType>, CumulativeDistributionFunction<NumberType>, IntegerDistribution, InvertibleCumulativeDistributionFunction<NumberType>, ProbabilityDensityFunction<DataType>, SmoothCumulativeDistributionFunction, SmoothUnivariateDistribution, UnivariateDistribution<NumberType>, UnivariateProbabilityDensityFunction

All Known Implementing Classes:

AbstractClosedFormIntegerDistribution, AbstractClosedFormSmoothUnivariateDistribution, AbstractClosedFormUnivariateDistribution, BernoulliDistribution, BernoulliDistribution.CDF, BernoulliDistribution.PMF, BetaBinomialDistribution, BetaBinomialDistribution.CDF, BetaBinomialDistribution.PMF, BetaDistribution, BetaDistribution.CDF, BetaDistribution.PDF, BinomialDistribution, BinomialDistribution.CDF, BinomialDistribution.PMF, CategoricalDistribution, CategoricalDistribution.PMF, CauchyDistribution, CauchyDistribution.CDF, CauchyDistribution.PDF, ChineseRestaurantProcess, ChineseRestaurantProcess.PMF, ChiSquareDistribution, ChiSquareDistribution.CDF, ChiSquareDistribution.PDF, DeterministicDistribution, DeterministicDistribution.CDF, DeterministicDistribution.PMF, DirichletDistribution, DirichletDistribution.PDF, ExponentialDistribution, ExponentialDistribution.CDF, ExponentialDistribution.PDF, GammaDistribution, GammaDistribution.CDF, GammaDistribution.PDF, GeometricDistribution, GeometricDistribution.CDF, GeometricDistribution.PMF, InverseGammaDistribution, InverseGammaDistribution.CDF, InverseGammaDistribution.PDF, InverseWishartDistribution, InverseWishartDistribution.PDF, KolmogorovDistribution, KolmogorovDistribution.CDF, LaplaceDistribution, LaplaceDistribution.CDF, LaplaceDistribution.PDF, LogisticDistribution, LogisticDistribution.CDF, LogisticDistribution.PDF, LogNormalDistribution, LogNormalDistribution.CDF, LogNormalDistribution.PDF, MixtureOfGaussians.PDF, MultinomialDistribution, MultinomialDistribution.PMF, MultivariateGaussian, MultivariateGaussian.PDF, MultivariateGaussianInverseGammaDistribution, MultivariateMixtureDensityModel, MultivariateMixtureDensityModel.PDF, MultivariatePolyaDistribution, MultivariatePolyaDistribution.PMF, MultivariateStudentTDistribution, MultivariateStudentTDistribution.PDF, NegativeBinomialDistribution, NegativeBinomialDistribution.CDF, NegativeBinomialDistribution.PMF, NormalInverseGammaDistribution, NormalInverseGammaDistribution.PDF, NormalInverseWishartDistribution, NormalInverseWishartDistribution.PDF, ParetoDistribution, ParetoDistribution.CDF, ParetoDistribution.PDF, PoissonDistribution, PoissonDistribution.CDF, PoissonDistribution.PMF, ScalarDataDistribution, ScalarDataDistribution.CDF, ScalarDataDistribution.PMF, ScalarMixtureDensityModel, ScalarMixtureDensityModel.CDF, ScalarMixtureDensityModel.PDF, SnedecorFDistribution, SnedecorFDistribution.CDF, StudentizedRangeDistribution, StudentizedRangeDistribution.CDF, StudentTDistribution, StudentTDistribution.CDF, StudentTDistribution.PDF, UniformDistribution, UniformDistribution.CDF, UniformDistribution.PDF, UniformIntegerDistribution, UniformIntegerDistribution.CDF, UniformIntegerDistribution.PMF, UnivariateGaussian, UnivariateGaussian.CDF, UnivariateGaussian.CDF.Inverse, UnivariateGaussian.PDF, UnivariateRandomVariable, WeibullDistribution, WeibullDistribution.CDF, WeibullDistribution.PDF, YuleSimonDistribution, YuleSimonDistribution.CDF, YuleSimonDistribution.PMF

public interface DistributionWithMean<DataType>
extends Distribution<DataType>

A Distribution that has a well-defined mean, or first central moment.

Since:

3.1

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
DataType	getMean() Gets the arithmetic mean, or "first central moment" or "expectation", of the distribution.

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

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

clone

Method Detail

getMean

DataType getMean()

Gets the arithmetic mean, or "first central moment" or "expectation", of the distribution.

Returns:

Mean of the distribution.