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Regression Analysis by Example, 4th Edition
Samprit Chatterjee,
New York Univ.
Ali S. Hadi,
The American University in Cairo, Egypt
ISBN: 978-0-471-74696-6
©2006
408 pages
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Description
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Carrying out a successful application of regression analysis requires a balance of theoretical results, empirical rules, and subjective judgment. This book explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory. This is not just another edition of the book; rather, it is a rewriting, reorganization, and update of the previous edition. The new edition is expanded and modernized to reflect recent advances in the field, offering in-depth treatment of diagnostic plots, time series regression, multicollinearity, logistic regression, and robust regression and data mining (both at an elementary level). Suitable for anyone with an understanding of elementary statistics, the book illustrates methods of regression analysis with examples containing the types of irregularities commonly encountered in the real world. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. Each of the methods described can be carried out with most currently available statistical software packages.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
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