Jan Beirlant, Yuri Goegebeur, Johan Segers

Statistics of Extremes

Theory and Applications
By Jan Beirlant, Jozef Teugels, Yuri Goegebeur et al.

• Gebundenes Buch

Produktbeschreibung

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 512
• Erscheinungstermin: 15. Oktober 2004
• Englisch
• Abmessung: 235mm x 157mm x 35mm
• Gewicht: 940g
• ISBN-13: 9780471976479
• ISBN-10: 0471976474
• Artikelnr.: 13079503

Autorenporträt

Jan Beirlant is the author of Statistics of Extremes: Theory and Applications, published by Wiley. Yuri Goegebeur is the author of Statistics of Extremes: Theory and Applications, published by Wiley. Johan Segers is the author of Statistics of Extremes: Theory and Applications, published by Wiley. Jozef L. Teugels is the author of Statistics of Extremes: Theory and Applications, published by Wiley.

Inhaltsangabe

Preface. 1 WHY EXTREME VALUE THEORY? 1.1 A Simple Extreme Value Problem.
1.2 Graphical Tools for Data Analysis. 1.3 Domains of Applications. 1.4
Conclusion. 2 THE PROBABILISTIC SIDE OF EXTREME VALUE THEORY. 2.1 The
Possible Limits. 2.2 An Example. 2.3 The Fr'echet-Pareto Case: ³ > 0. 2.4
The (Extremal) Weibull Case: ³ 0. 2.5 The Gumbel Case: ³ = 0. 2.6
Alternative Conditions for (C³ ). 2.7 Further on the Historical Approach.
2.8 Summary. 2.9 Background Information. 3 AWAY FROM THE MAXIMUM. 3.1
Introduction. 3.2 Order Statistics Close to the Maximum. 3.3 Second-order
Theory. 3.4 Mathematical Derivations. 4 TAIL ESTIMATION UNDER PARETO-TYPE
MODELS. 4.1 A Naive Approach. 4.2 The Hill Estimator. 4.3 Other Regression
Estimators. 4.4 A Representation for Log-spacings and Asymptotic Results.
4.5 Reducing the Bias. 4.6 Extreme Quantiles and Small Exceedance
Probabilities. 4.7 Adaptive Selection of the Tail Sample Fraction. 5 TAIL
ESTIMATION FOR ALL DOMAINS OF ATTRACTION. 5.1 The Method of Block Maxima.
5.2 Quantile View--Methods Based on (C³). 5.3 Tail Probability
View--Peaks-Over-Threshold Method. 5.4 Estimators Based on an Exponential
Regression Model. 5.5 Extreme Tail Probability, Large Quantile and Endpoint
Estimation Using Threshold Methods. 5.6 Asymptotic Results Under (C³ )-(C*³
). 5.7 Reducing the Bias. 5.8 Adaptive Selection of the Tail Sample
Fraction. 5.9 Appendices. 6 CASE STUDIES. 6.1 The Condroz Data. 6.2 The
Secura Belgian Re Data. 6.3 Earthquake Data. 7 REGRESSION ANALYSIS. 7.1
Introduction. 7.2 The Method of Block Maxima. 7.3 The Quantile
View--Methods Based on Exponential Regression Models. 7.4 The Tail
Probability View--Peaks Over Threshold (POT) Method. 7.5 Non-parametric
Estimation. 7.6 Case Study. 8 MULTIVARIATE EXTREME VALUE THEORY. 8.1
Introduction. 8.2 Multivariate Extreme Value Distributions. 8.3 The Domain
of Attraction. 8.4 Additional Topics. 8.5 Summary. 8.6 Appendix. 9
STATISTICS OF MULTIVARIATE EXTREMES. 9.1 Introduction. 9.2 Parametric
Models. 9.3 Component-wise Maxima. 9.4 Excesses over a Threshold. 9.5
Asymptotic Independence. 9.6 Additional Topics. 9.7 Summary. 10 EXTREMES OF
STATIONARY TIME SERIES. 10.1 Introduction. 10.2 The Sample Maximum. 10.3
Point-Process Models. 10.4 Markov-Chain Models. 10.5 Multivariate
Stationary Processes. 10.6 Additional Topics. 11 BAYESIAN METHODOLOGY IN
EXTREME VALUE STATISTICS. 11.1 Introduction. 11.2 The Bayes Approach. 11.3
Prior Elicitation. 11.4 Bayesian Computation. 11.5 Univariate Inference.
11.6 An Environmental Application. Bibliography. Author Index. Subject
Index.

Rezensionen

"This excellent book provides an overall survey of the most important achievements in the field of extreme value theory." ( Mathematical Reviews , 2005j)
"...a useful reference for researchers wishing to learn more about the analysis of extreme data, including as it does a wealth of information about the topic..." ( Technometrics , August 2005)

"The book is well written and the authors make good use of graphical procedures to illustrate and illuminate their exposition." ( International Statistical Institute , Vol 25 (2), August 2005)

"...a very useful and readable text..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)

"...its strengths lie in the combination of the theory and applications." ( Meteorologishe Zeitschrift, April 2007)