Modern Regression Methods, Set
Book Details
Format
Hardback or Cased Book
Book Series
Wiley Series in Probability and Statistics
ISBN-10
0470550449
ISBN-13
9780470550441
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jun 5th, 2009
Print length
770 Pages
Weight
236 grams
Dimensions
23.40 x 15.50 x 0.90 cms
Product Classification:
Mathematics
Ksh 28,250.00
Publisher Out of Stock
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Quality
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This set contains ISBN 978-0-470-08186-0 Modern Regression Methods, 2nd Edition and the Solutions Manual 978-0-470-09606-2. Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the Second Edition include: A revised chapter on logistic regression, including improved methods of parameter estimationA new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regressionA wealth of new and updated exercises with worked solutionsAn extensive FTP site complete with Minitab macros, which allow the reader to compute analyses, and specialized proceduresUpdated references at the end of each chapter that direct the reader to the appropriate resources for further study An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.
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