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Multivariate extreme value theory an...

Falk, Michael.

Multivariate extreme value theory and d-norms

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multivariate extreme value theory and d-normsby Michael Falk.
作者:	Falk, Michael.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 241 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Multivariate analysis.
電子資源:	https://doi.org/10.1007/978-3-030-03819-9
ISBN:	9783030038199$q(electronic bk.)

Multivariate extreme value theory and d-norms
Falk, Michael.

Multivariate extreme value theory and d-norms[electronic resource] /by Michael Falk. - Cham :Springer International Publishing :2019. - x, 241 p. :ill., digital ;24 cm. - Springer series in operations research and financial engineering,1431-8598. - Springer series in operations research and financial engineering..

1. D-Norms -- 2. D-Norms & Multivariate Extremes -- 3. Copulas & Multivariate Extremes -- 4. An Introduction to Functional Extreme Value Theory -- 5. Further Applications of D-Norms to Probability & Statistics.

This monograph compiles the contemporary knowledge about D-norms and provides an introductory tour through the essentials of multivariate extreme value theory. Following a clear introduction of D-norms, this book introduces links with the theory through multivariate generalized Pareto distributions and max stable distributions. Further views on D-norms from a functional analysis perspective and from stochastic geometry underline the aim of this book to reveal mathematical structures. This book is intended for mathematicians with a basic knowledge of analysis and probability theory, including Fubini's theorem.

ISBN: 9783030038199$q(electronic bk.)

Standard No.: 10.1007/978-3-030-03819-9doiSubjects--Topical Terms:

181905
Multivariate analysis.

LC Class. No.: QA278 / .F355 2019

Dewey Class. No.: 519.535

Multivariate extreme value theory and d-norms
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520 $a This monograph compiles the contemporary knowledge about D-norms and provides an introductory tour through the essentials of multivariate extreme value theory. Following a clear introduction of D-norms, this book introduces links with the theory through multivariate generalized Pareto distributions and max stable distributions. Further views on D-norms from a functional analysis perspective and from stochastic geometry underline the aim of this book to reveal mathematical structures. This book is intended for mathematicians with a basic knowledge of analysis and probability theory, including Fubini's theorem.
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