Uses of Interface
dev.nm.stat.evt.evd.bivariate.BivariateEVD
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Packages that use BivariateEVD Package Description dev.nm.stat.evt.evd.bivariate dev.nm.stat.evt.markovchain -
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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 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. -
Uses of BivariateEVD in dev.nm.stat.evt.markovchain
Constructors in dev.nm.stat.evt.markovchain with parameters of type BivariateEVD Constructor 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 usesUniformRNGfor 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.
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