Regression Analysis by Example Hardback - 2012
by Samprit Chatterjee; Ali S. Hadi
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Details
- Title Regression Analysis by Example
- Author Samprit Chatterjee; Ali S. Hadi
- Binding Hardback
- Edition INTERNATIONAL ED
- Condition Used - Good
- Pages 424
- Volumes 1
- Language ENG
- Publisher Wiley & Sons, Incorporated, John
- Publication date 2012
- Bookseller's Inventory # G0470905840I3N00
- ISBN 9780470905845 / 0470905840
- Weight 2 lbs (0.91 kg)
- Dimensions 10.2 x 7.2 x 1.2 in (25.91 x 18.29 x 3.05 cm)
- Category Mathematics
- Library of Congress subjects Regression analysis, MATHEMATICS / Probability & Statistics /
- Library of Congress Catalogue Number 2012009795
- Dewey Decimal Code 519.536
- Quantity available 2
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From the publisher
From the rear cover
Praise for the Fourth Edition:
"This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."--Journal of the American Statistical Association
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including:
- Surrogate ridge regression
- Fitting nonlinear models
- Errors in variables
- ANOVA for designed experiments
Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.
Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.
