gov.sandia.cognition.statistics
Interface DistributionWithMean<DataType>

Type Parameters:
DataType - Type of data in the domain
All Superinterfaces:
Cloneable, CloneableSerializable, Distribution<DataType>, Serializable
All Known Subinterfaces:
ClosedFormComputableDiscreteDistribution<DataType>, ClosedFormComputableDistribution<DataType>, ClosedFormCumulativeDistributionFunction<DomainType>, ClosedFormDiscreteUnivariateDistribution<DomainType>, ClosedFormDistribution<DataType>, ClosedFormUnivariateDistribution<NumberType>, CumulativeDistributionFunction<NumberType>, InvertibleCumulativeDistributionFunction<NumberType>, ProbabilityDensityFunction<DataType>, SmoothCumulativeDistributionFunction, SmoothUnivariateDistribution, UnivariateDistribution<NumberType>, UnivariateProbabilityDensityFunction
All Known Implementing Classes:
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, 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
 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
 
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.