Statistical Analysis of Extreme Values: With Applications to Insurance, Finance, Hydrology and Other Fields

Reiss, Rolf-Dieter/ Thomas, Michael

ISBN 10: 3764372303 / ISBN 13: 9783764372309

Editore: Birkhauser, 2007

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3rd paperback/cd-rom edition. 511 pages. 9.50x6.50x1.00 inches. In Stock.

Codice articolo x-3764372303

Dati bibliografici

• Titolo: Statistical Analysis of Extreme Values: With Applications to Insurance, Finance, Hydrology and Other Fields
• Editore: Birkhauser
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 3764372303
• ISBN 13: 9783764372309
• Rilegatura: Paperback
• Edizione: terza edizione
• Condizione: Brand New
• Peso: 1,3 chilogrammi

Descrizione articolo

Riassunto

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).

Dalla quarta di copertina

The statistical analysis of extreme data is important for various 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.

The entire text of this third edition has been thoroughly updated and rearranged to meet the new requirements. Additional sections and chapters, elaborated on more than 100 pages, are particularly concerned with topics like dependencies, the conditional analysis and the multivariate modeling of extreme data. Parts I–III about the basic extreme value methodology remain unchanged to some larger extent, yet notable are, e.g., the new sections about "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 the new chapter about "Extreme Value Statistics of Dependent Random Variables" (co-authored by H. Drees). Other new topics, e.g., a chapter about "Environmental Sciences", (co--authored by R.W. Katz), are collected within Parts IV–VI.