Author: Stuart Coles
Edition: 2001
Publisher: Springer
Binding: Hardcover
ISBN: 1852334592
An Introduction to Statistical Modeling of Extreme Values
Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Medical books An Introduction to Statistical Modeling of Extreme Values. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes. All the computations are carried out using S-PLUS, and the corresponding datasets and functions are available via the Internet for readers to recreate examples for themselves Medical books An Introduction to Statistical Modeling of Extreme Values. An Introduction to Statistical Modeling of Extreme Values
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An Introduction to Statistical Modeling of Extreme Values
An Introduction to Statistical Modeling of Extreme Values (2001 Edition) by Coles, Stuart/ Coles, S. [Hardcover]
author stuart coles format hardback language english publication year 20 08 2001 series springer series in statistics subject mathematics sciences subject 2 mathematics title an introduction to statistical modeling of extreme values author stuart coles publisher springer verlag publication date dec 01 2001 pages 208 binding hardcover edition 1 st dimensions 6 50 wx 9 50 hx 0 75 d isbn 1852334592 subject mathematics probability statistics general brand new hardcover all orders get full access t
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Medical Book An Introduction to Statistical Modeling of Extreme Values
Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes. All the computations are carried out using S-PLUS, and the corresponding datasets and functions are available via the Internet for readers to recreate examples for themselves. An essential reference for students and researchers in statistics and disciplines such as engineering, finance and environmental science, this book will also appeal to practitioners looking for practical help in solving real problems. Stuart Coles is Reader in Statistics at the University of Bristol, UK, having previously lectured at the universities of Nottingham and Lancaster. In 1992 he was the first recipient of the Royal Statistical Society's research prize. He has published widely in the statistical literature, principally in the area of extreme value modeling.
