Description

Book Synopsis
A straightforward, practical guide to extreme value modeling for today''s world

Measuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching implications for all aspects of modern engineering and science. Extreme Value and Related Models with Applications in Engineering and Science reflects the latest information in this growing field. The book incorporates illuminating real-world examples from such areas as structural engineering, hydraulics, meteorology, materials science, highway traffic analysis, environmetrics, and climatology, and is designed to help engineers, mathematicians, statisticians, and scientists gain a clearer understanding of extreme value theory and then translate that knowledge into practical applications within their own fields of research.

The book provides:

  • A unique focus on modern topics including data analysis and inference
  • Specific data in such areas as wind, flood, chain st

    Trade Review
    “This text provides an extensive coverage of the distribution theory of extreme values…the text is well presented with clearly displayed equations and diagrams…a particularly useful reference book…” (International Statistical Institute, Vol 25 (2) August 2005)

    Table of Contents
    Preface.

    I: DATA, INTRODUCTION AND MOTIVATION.

    1. Introduction and Motivation.

    II: PROBABILISTIC MODELS USEFUL IN EXTREMES.

    2. Discrete Probabilistic Models.

    3. Continuous Probabilistic Models.

    III: MODEL ESTIMATION, SELECTION, AND VALIDATION.

    4. Model Estimation.

    5. Model Selection and Validation.

    IV: EXACT MODELS FOR ORDER STATISTICS AND EXTREMES.

    6. Order Statistics.

    7. Point Processes and Exact Models.

    V: ASYMPTOTIC MODELS FOR EXTREMES AND EXCEEDANCES.

    8. Limit Distributions of Order Statistics.

    9. Limit Distributions of Exceedances.

    10. Multivariate Extremes.

    Appendix: Statistical Tables.

    Bibliography.

    Index.

Extreme Value and Related Models with

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    £129.56

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    RRP £143.95 – you save £14.39 (9%)

    Order before 4pm tomorrow for delivery by Tue 7 Jul 2026.

    A Hardback by Enrique Castillo, Ali S. Hadi, Narayanaswamy Balakrishnan

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Extreme Value and Related Models with by Enrique Castillo

      Publisher: John Wiley & Sons Inc
      Publication Date: 23/11/2004
      ISBN13: 9780471671725, 978-0471671725
      ISBN10: 047167172X
      Also in:
      Mathematics Science: general issues

      Description

      Book Synopsis
      A straightforward, practical guide to extreme value modeling for today''s world

      Measuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching implications for all aspects of modern engineering and science. Extreme Value and Related Models with Applications in Engineering and Science reflects the latest information in this growing field. The book incorporates illuminating real-world examples from such areas as structural engineering, hydraulics, meteorology, materials science, highway traffic analysis, environmetrics, and climatology, and is designed to help engineers, mathematicians, statisticians, and scientists gain a clearer understanding of extreme value theory and then translate that knowledge into practical applications within their own fields of research.

      The book provides:

      • A unique focus on modern topics including data analysis and inference
      • Specific data in such areas as wind, flood, chain st

        Trade Review
        “This text provides an extensive coverage of the distribution theory of extreme values…the text is well presented with clearly displayed equations and diagrams…a particularly useful reference book…” (International Statistical Institute, Vol 25 (2) August 2005)

        Table of Contents
        Preface.

        I: DATA, INTRODUCTION AND MOTIVATION.

        1. Introduction and Motivation.

        II: PROBABILISTIC MODELS USEFUL IN EXTREMES.

        2. Discrete Probabilistic Models.

        3. Continuous Probabilistic Models.

        III: MODEL ESTIMATION, SELECTION, AND VALIDATION.

        4. Model Estimation.

        5. Model Selection and Validation.

        IV: EXACT MODELS FOR ORDER STATISTICS AND EXTREMES.

        6. Order Statistics.

        7. Point Processes and Exact Models.

        V: ASYMPTOTIC MODELS FOR EXTREMES AND EXCEEDANCES.

        8. Limit Distributions of Order Statistics.

        9. Limit Distributions of Exceedances.

        10. Multivariate Extremes.

        Appendix: Statistical Tables.

        Bibliography.

        Index.

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