On the Multivariate Extremes and Asymptotic Dependence of Elliptical Random Vectors

Détails

ID Serval
serval:BIB_9FB8E89113B5
Type
Partie de livre
Collection
Publications
Titre
On the Multivariate Extremes and Asymptotic Dependence of Elliptical Random Vectors
Titre du livre
Topics in Extreme Values
Auteur⸱e⸱s
Hashrova E.
Editeur
New York: Nova Science Publishers
ISBN
1-60021-714-1
Statut éditorial
Publié
Date de publication
2008
Editeur⸱rice scientifique
Ahsanullah M., Kirmani S.N.U.A.
Numéro de chapitre
8
Pages
163-184
Langue
anglais
Résumé
Extreme value theory is a branch of statistics dealing with the extreme deviations from the median of probability distributions. The general theory sets out to assess the type of probability distributions generated by processes. Extreme value theory is important for assessing risk for unusual events. Applications of extreme value theory include predicting the probability distribution of: Extreme floods; The amounts of large insurance losses; Equity risks; Day to day market risk ; The size of freak waves; Mutational events during evolution. This new book presents the latest research breakthroughs in this dynamic field.
Mots-clé
Statistics, Mathematics, Finance, Economics
Création de la notice
11/08/2017 16:18
Dernière modification de la notice
20/08/2019 16:05
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