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 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 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 usesUniformRNG
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.
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