Statistical Analysis of Extreme Values : with Applications to Insurance, Finance, Hydrology and Other Fields / by Rolf-Dieter Reiss, Michael Thomas.

Por:

Reiss, Rolf-Dieter [autor]

Colaborador(es):

Tipo de material: Texto

TextoEditor: Basel : Birkhäuser Basel, 2007Edición: Third EditionDescripción: xvii, 511 páginas recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9783764373993

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

QA273.A1-274.9

Recursos en línea:

Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)

Contenidos:

Modeling and Data Analysis -- Parametric Modeling -- Diagnostic Tools -- Statistical Inference in Parametric Models -- An Introduction to Parametric Inference -- Extreme Value Models -- Generalized Pareto Models -- Advanced Statistical Analysis -- Statistics of Dependent Variables -- Conditional Extremal Analysis -- Statistical Models for Exceedance Processes -- Elements of Multivariate Statistical Analysis -- Basic Multivariate Concepts and Visualization -- Elliptical and Related Distributions -- Multivariate Maxima -- Multivariate Peaks Over Threshold -- Topics in Hydrology and Environmental Sciences -- Flood Frequency Analysis -- Environmental Sciences -- Topics in Finance and Insurance -- Extreme Returns in Asset Prices -- The Impact of Large Claims on Actuarial Decisions -- Topics in Material and Life Sciences -- Material Sciences -- Life Science.

Resumen: 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.

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Springer eBooks

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.

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