Extreme Value Theory: An Introduction by Laurens de HaanExtreme Value Theory: An Introduction by Laurens de Haan

Extreme Value Theory: An Introduction

byLaurens de Haan, Ana Ferreira

Paperback | November 29, 2010

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This treatment of extreme value theory is unique in book literature in that it focuses on some beautiful theoretical results along with applications. All the main topics covering the heart of the subject are introduced to the reader in a systematic fashion so that in the final chapter even the most recent developments in the theory can be understood.Key to the presentation is the concentration on the probabilistic and statistical aspects of extreme values without major emphasis on such related topics as regular variation, point processes, empirical distribution functions, and Brownian motion.The work is an excellent introduction to extreme value theory at the graduate level, requiring only some mathematical maturity.
Title:Extreme Value Theory: An IntroductionFormat:PaperbackDimensions:418 pagesPublished:November 29, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:144192020X

ISBN - 13:9781441920201

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Table of Contents

Preface.- Part I: One-Dimensional Observations.- Limit Distributions and Domains of Attraction.- Extreme and Intermediate Order Statistics.- Estimation of the Extreme Value Index and Testing.- Extreme Quantile and Tail Estimation.- More Advanced Topics.- Part II: Finite-Dimensional Observations.- Basic Theory.- Estimating the Dependence Structure.- Estimation of the Probability of a Failure Set.- Part III: Observations that are Stochastic Processes.- Basic Theory.- Examples.- Estimation.- Appendix A: Regular Variation (proofs).

Editorial Reviews

From the reviews:"According to the authors, who have provided significant contributions to this field by themselves, the 'aim of this book is to give a thorough account of the basic theory of extreme values, probabilistic and statistical, theoretical and applied'. This goal has been certainly achieved. . The book certainly provides a nice 'introduction' into the recent developments of statistical (and probabilistic) extreme value theory. It will serve as a useful reference for all graduate students and researchers in the field." (Josef Steinebach, Zentralblatt MATH, Vol. 1101 (3), 2007)"This book deals with the mature topic of extreme value theory (EVT) and its applications to diverse areas, including finance, and many others. . The authors are among the leading experts in the field of EVT and have written an authoritative treatment of the subject. It is an excellent reference book that also can be used as a textbook for an advanced special topics course on EVT. Practitioners interested in developing a deeper understanding of the area would benefit greatly from this text." (George Michailidis and Stilian Stoev, Technometrics, Vol. 49 (4), 2007)"The book under review gives a solid overview of EVT including not only the probabilistic fundamentals but also the corresponding statistical theory. . the book also provides approximately 100 exercises and 100 references. The exercises should be considered as supplementary materials, since most of them are also important results in EVT literature. . can be highly recommended to anyone who is interested in the recent development of EVT theory and its statistical applications." (C. Zhou, Kwantitatieve Methoden, December, 2007)"This book is in the long tradition of study of extreme value theory . . Two main themes are given full treatment here for the first time in textbook form. . This is a valuable feature of this book . . This book is a 'must have' for experts in extreme value theory, and would be an excellent choice for a special topics course on the probabilistic and theoretical sides of extreme value theory, especially a course emphasizing the multivariate aspects of extremes." (Jon A. Wellner, SIAM Review, Vol. 49 (2), 2007)"This book is a recent addition to the Springer series on operations research and financial engineering. . The book is divided into three parts . . for someone wanting to work in statistical aspects of extreme value theory, the book is an excellent choice for self-study. The reader not only will receive a rigorous introduction, but also will get to the cutting edge of inference for extreme values." (Peter C. Kiessler, Journal of the American Statistical Association, Vol. 103 (482), 2008)