Includes bibliographical references (pages 333-352) and index.
Introduction and motivation -- Discrete probabilistic models -- Continuous probabilistic models -- Multivariate probabilistic models -- Model estimation -- Model selection and validation -- Order statistics -- Point processes and exact models -- Limit distributions of order statistics -- Limit distributions of exceedances and shortfalls -- Multivariate extremes.
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"Enhanced with numerous graphs and exercises, plus an extensive bibliography for further study, this text is an important reference source for engineers designing structures that will withstand even the most extreme circumstances."--Jacket.
"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."