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  1. Extremes
  2. Extremes : Volume 2
  3. Extremes : Volume 2, Issue 4, December 1999
  4. Dependence Measures for Extreme Value Analyses
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Extremes : Volume 20
Extremes : Volume 19
Extremes : Volume 18
Extremes : Volume 17
Extremes : Volume 16
Extremes : Volume 15
Extremes : Volume 14
Extremes : Volume 13
Extremes : Volume 12
Extremes : Volume 11
Extremes : Volume 10
Extremes : Volume 9
Extremes : Volume 8
Extremes : Volume 7
Extremes : Volume 6
Extremes : Volume 5
Extremes : Volume 4
Extremes : Volume 3
Extremes : Volume 2
Extremes : Volume 2, Issue 4, December 1999
Dependence Measures for Extreme Value Analyses
A Bootstrap-based Method to Achieve Optimality in Estimating the Extreme-value Index
Limit Theorems for the Maximum Terms of a Sequence of Random Variables with Marginal Geometric Distributions
On the Convergence Rates of Extreme Generalized Order Statistics
Extremes : Volume 2, Issue 3, September 1999
Extremes : Volume 2, Issue 2, June 1999
Extremes : Volume 2, Issue 1, March 1999
Extremes : Volume 1

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Dependence Measures for Extreme Value Analyses

Content Provider Springer Nature Link
Author Coles, Stuart Heffernan, Janet Tawn, Jonathan
Copyright Year 1999
Abstract Quantifying dependence is a central theme in probabilistic and statistical methods for multivariate extreme values. Two situations are possible: one where, in a limiting sense, the extremes are dependent; the other where, in the same sense, the extremes are independent. This paper comprises an overview of the principal issues through a unified approach which encompasses both these situations. Novel diagnostic measures for dependence are also developed which provide complementary information about different aspects of extremal dependence. The paper is written in an elementary style, with the methodology illustrated by application to theoretical examples and typical data-sets. These data-sets and the S-plus functions used for the analyses are available online.
Starting Page 339
Ending Page 365
Page Count 27
File Format PDF
ISSN 13861999
Journal Extremes
Volume Number 2
Issue Number 4
e-ISSN 1572915X
Language English
Publisher Kluwer Academic Publishers
Publisher Date 1999-01-01
Publisher Place Dordrecht
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Hydrogeology Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Quality Control, Reliability, Safety and Risk Civil Engineering Environmental Management
Content Type Text
Resource Type Article
Subject Statistics and Probability Economics, Econometrics and Finance Engineering
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