Uses of Interface
dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution
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Packages that use MultivariateProbabilityDistribution Package Description dev.nm.stat.distribution.multivariate dev.nm.stat.distribution.multivariate.exponentialfamily dev.nm.stat.evt.evd.bivariate -
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Uses of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate
Subinterfaces of MultivariateProbabilityDistribution in dev.nm.stat.distribution.multivariate Modifier and Type Interface Description interfaceBivariateProbabilityDistributionA 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 classAbstractBivariateProbabilityDistributionclassDirichletDistributionThe 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.classMultinomialDistributionclassMultivariateNormalDistributionThe multivariate Normal distribution or multivariate Gaussian distribution, is a generalization of the one-dimensional (univariate) Normal distribution to higher dimensions.classMultivariateTDistributionThe 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 MultivariateProbabilityDistributionMultivariateExponentialFamily. 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 interfaceBivariateEVDBivariate 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 classAbstractBivariateEVDclassBivariateEVDAsymmetricLogisticThe bivariate asymmetric logistic model.classBivariateEVDAsymmetricMixedThe asymmetric mixed model.classBivariateEVDAsymmetricNegativeLogisticThe bivariate asymmetric negative logistic model.classBivariateEVDBilogisticThe bilogistic model.classBivariateEVDColesTawnThe Coles-Tawn model.classBivariateEVDHuslerReissThe Husler-Reiss model.classBivariateEVDLogisticThe bivariate logistic model.classBivariateEVDNegativeBilogisticThe negative bilogistic model.classBivariateEVDNegativeLogisticThe bivariate negative logistic model.
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