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. 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.
Modelling therefore plays a vital part in all applications of statistics and is a W. Krzanowski is the author of An Introduction to Statistical Modelling, published. An Introduction to Statistical Modelling. Krzanowski, Arnold, London, No.
Of pages: x+ Price: £ ISBN 0‐‐‐9. Modelling therefore plays a vital part in all applications of statistics and is a component of most undergraduate programmes. ‘An Introduction to Statistical.Author:Mezisar KalrajasCountry:PakistanLanguage:English (Spanish)Genre:EducationPublished (Last):14 March 2007Pages:19PDF File Size:16.77 MbePub File Size:2.34 MbISBN:759-7-21924-143-1Downloads:81755Price:Free.Free Regsitration RequiredUploader:An introduction to statistical modellingThere’s no description for this book yet. The name field is required.
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Prefer the physical book? Statisticians rely heavily on making models of ‘causal situations’ in order to fully explain and predict events.Check kdzanowski libraries with: Conference publication, Internet resource Document Type: You may send this item to up to five recipients. Find a copy in the library Finding libraries that hold this item You may have already requested this item.Edit Last edited by Open Library Bot April 14, History 1 edition of An introduction to statistical modelling found in the catalog. An introduction to statistical modelling ( edition) Open LibraryReviews User-contributed reviews Add a review and share your thoughts with other readers.
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