Uses of Interface
dev.nm.stat.evt.evd.bivariate.BivariateEVD

Packages that use BivariateEVD

Package	Description
dev.nm.stat.evt.evd.bivariate
dev.nm.stat.evt.markovchain

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

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

Modifier and Type	Class and 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.

Uses of BivariateEVD in dev.nm.stat.evt.markovchain

Constructors in dev.nm.stat.evt.markovchain with parameters of type BivariateEVD

Constructor and Description
ExtremeValueMC(BivariateEVD bevd, ExtremeValueMC.MarginalDistributionType marginalType) Create an instance with a given bivariate distribution that defines the dependence structure between two consecutive simulated values, and uses UniformRNG for random number generation.
ExtremeValueMC(BivariateEVD bivariate, ExtremeValueMC.MarginalDistributionType marginalType, RandomNumberGenerator uniformRng) Create an instance with a given bivariate distribution that defines the dependence structure between two consecutive simulated values, and a uniform random number generator.