Reliable statistical analysis of extreme data is important in a variety
of disciplines, including hydrology, insurance, finance, engineering and
environmental sciences. This book provides a self-contained introduction
to the parametric modeling, exploratory analysis and statistical
interference for extreme values. For this third edition, the entire text
has been thoroughly updated and rearranged to meet contemporary
requirements. More than 100 pages of new sections and chapters address
such topics as dependencies, the conditional analysis and the
multivariate modeling of extreme data. New chapters include An Overview
of Reduced-Bias Estimation (co-authored by M.I. Gomes); The Spectral
Decomposition Methodology, and About Tail Independence (co-authored by
M. Frick); and Extreme Value Statistics of Dependent Random Variables
(co-authored by H. Drees).