Advertisement

Statistical Analysis of Extreme Values

from Insurance, Finance, Hydrology and Other Fields

  • Rolf-Dieter Reiss
  • Michael Thomas
Textbook

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Modeling and Data Analysis

    1. Front Matter
      Pages 1-1
    2. Rolf-Dieter Reiss, Michael Thomas
      Pages 3-36
    3. Rolf-Dieter Reiss, Michael Thomas
      Pages 37-72
  3. Statistical Inference in Parametric Models

    1. Front Matter
      Pages 73-73
    2. Rolf-Dieter Reiss, Michael Thomas
      Pages 75-94
    3. Rolf-Dieter Reiss, Michael Thomas
      Pages 95-114
    4. Rolf-Dieter Reiss, Michael Thomas
      Pages 115-132
    5. Rolf-Dieter Reiss, Michael Thomas
      Pages 133-152
  4. Elements of Multivariate Statistical Analysis

    1. Front Matter
      Pages 153-153
    2. Rolf-Dieter Reiss, Michael Thomas
      Pages 155-166
    3. Rolf-Dieter Reiss, Michael Thomas
      Pages 167-178
  5. Topics in Insurance, Finance and Hydrology

    1. Front Matter
      Pages 179-179
    2. C. G. de Vries
      Pages 207-222
    3. Rolf-Dieter Reiss, Michael Thomas
      Pages 223-230
  6. Case Studies in Extreme Value Analysis

    1. Front Matter
      Pages 231-231
    2. Ana M. Ferreira
      Pages 233-240
    3. Rolf-Dieter Reiss
      Pages 241-244
    4. Edgar Kaufmann, Cornelia Hillgärtner
      Pages 245-250
  7. Back Matter
    Pages 265-316

About this book

Introduction

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.

Keywords

Economics Extreme values Insurance Statistical analysis data analysis hydrology Random variable Rang statistics

Authors and affiliations

  • Rolf-Dieter Reiss
    • 1
  • Michael Thomas
    • 1
  1. 1.Fachbereich 6Universität-Gesamthochschule SiegenSiegenGermany

Bibliographic information

Industry Sectors
Pharma
Materials & Steel
Health & Hospitals
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences