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Modelling Extreme Multivariate Events
by
Tawn, Jonathan A.
, Coles, Stuart G.
in
Analytical, structural and metabolic biochemistry
/ Average linear density
/ Biological and medical sciences
/ Coasts
/ Componentwise operations
/ Density
/ Distribution functions
/ extreme value theory
/ Fundamental and applied biological sciences. Psychology
/ generalized pareto distribution
/ Logistics
/ maximum likelihood
/ Modeling
/ multivariate ordering
/ non‐homogeneous poisson process
/ Parametric models
/ Poisson process
/ simplex measures
/ Time series models
1991
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Modelling Extreme Multivariate Events
by
Tawn, Jonathan A.
, Coles, Stuart G.
in
Analytical, structural and metabolic biochemistry
/ Average linear density
/ Biological and medical sciences
/ Coasts
/ Componentwise operations
/ Density
/ Distribution functions
/ extreme value theory
/ Fundamental and applied biological sciences. Psychology
/ generalized pareto distribution
/ Logistics
/ maximum likelihood
/ Modeling
/ multivariate ordering
/ non‐homogeneous poisson process
/ Parametric models
/ Poisson process
/ simplex measures
/ Time series models
1991
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Do you wish to request the book?
Modelling Extreme Multivariate Events
by
Tawn, Jonathan A.
, Coles, Stuart G.
in
Analytical, structural and metabolic biochemistry
/ Average linear density
/ Biological and medical sciences
/ Coasts
/ Componentwise operations
/ Density
/ Distribution functions
/ extreme value theory
/ Fundamental and applied biological sciences. Psychology
/ generalized pareto distribution
/ Logistics
/ maximum likelihood
/ Modeling
/ multivariate ordering
/ non‐homogeneous poisson process
/ Parametric models
/ Poisson process
/ simplex measures
/ Time series models
1991
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Journal Article
Modelling Extreme Multivariate Events
1991
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Overview
The classical treatment of multivariate extreme values is through componentwise ordering, though in practice most interest is in actual extreme events. Here the point process of observations which are extreme in at least one component is considered. Parametric models for the dependence between components must satisfy certain constraints. Two new techniques for generating such models are presented. Aspects of the statistical estimation of the resulting models are discussed and are illustrated with an application to oceanographic data.
Publisher
Blackwell Publishers,Royal Statistical Society
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