On the Multivariate Extremes and Asymptotic Dependence of Elliptical Random Vectors

Details

Serval ID
serval:BIB_9FB8E89113B5
Type
A part of a book
Collection
Publications
Title
On the Multivariate Extremes and Asymptotic Dependence of Elliptical Random Vectors
Title of the book
Topics in Extreme Values
Author(s)
Hashrova E.
Publisher
New York: Nova Science Publishers
ISBN
1-60021-714-1
Publication state
Published
Issued date
2008
Editor
Ahsanullah M., Kirmani S.N.U.A.
Chapter
8
Pages
163-184
Language
english
Abstract
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.
Keywords
Statistics, Mathematics, Finance, Economics
Create date
11/08/2017 16:18
Last modification date
20/08/2019 16:05
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