Uses of Interface
dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution

Packages that use MultivariateProbabilityDistribution

Package	Description
dev.nm.stat.distribution.multivariate
dev.nm.stat.distribution.multivariate.exponentialfamily
dev.nm.stat.evt.evd.bivariate

Uses of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate

Subinterfaces of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate

Modifier and Type	Interface	Description
interface	BivariateProbabilityDistribution	A bivariate or joint probability distribution for X_1, X_2 is a probability distribution that gives the probability that each of X_1, X_2, ... falls in any particular range or discrete set of values specified for that variable.

Classes in dev.nm.stat.distribution.multivariate that implement MultivariateProbabilityDistribution

Modifier and Type	Class	Description
class	AbstractBivariateProbabilityDistribution
class	DirichletDistribution	The Dirichlet distribution (after Peter Gustav Lejeune Dirichlet), often denoted Dir(a), is a family of continuous multivariate probability distributions parametrized by a vector a of positive reals.
class	MultinomialDistribution
class	MultivariateNormalDistribution	The multivariate Normal distribution or multivariate Gaussian distribution, is a generalization of the one-dimensional (univariate) Normal distribution to higher dimensions.
class	MultivariateTDistribution	The multivariate T distribution or multivariate Student distribution, is a generalization of the one-dimensional (univariate) Student's t-distribution to higher dimensions.

Uses of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate.exponentialfamily

Methods in dev.nm.stat.distribution.multivariate.exponentialfamily that return MultivariateProbabilityDistribution

Modifier and Type	Method	Description
MultivariateProbabilityDistribution	MultivariateExponentialFamily.getDistribution(Vector theta)	Construct a probability distribution in the exponential family.

Uses of MultivariateProbabilityDistribution in dev.nm.stat.evt.evd.bivariate

Subinterfaces of MultivariateProbabilityDistribution in dev.nm.stat.evt.evd.bivariate

Modifier and Type	Interface	Description
interface	BivariateEVD	Bivariate Extreme Value (BEV) distribution is the joint distribution of component-wise maxima of two-dimensional iid random vectors.

Classes in dev.nm.stat.evt.evd.bivariate that implement MultivariateProbabilityDistribution

Modifier and Type	Class	Description
class	AbstractBivariateEVD
class	BivariateEVDAsymmetricLogistic	The bivariate asymmetric logistic model.
class	BivariateEVDAsymmetricMixed	The asymmetric mixed model.
class	BivariateEVDAsymmetricNegativeLogistic	The bivariate asymmetric negative logistic model.
class	BivariateEVDBilogistic	The bilogistic model.
class	BivariateEVDColesTawn	The Coles-Tawn model.
class	BivariateEVDHuslerReiss	The Husler-Reiss model.
class	BivariateEVDLogistic	The bivariate logistic model.
class	BivariateEVDNegativeBilogistic	The negative bilogistic model.
class	BivariateEVDNegativeLogistic	The bivariate negative logistic model.