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Regression Analysis By Example 4th Edition Samprit Chatterjee

  • SKU: BELL-2143632
Regression Analysis By Example 4th Edition Samprit Chatterjee
$ 31.00 $ 45.00 (-31%)

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Regression Analysis By Example 4th Edition Samprit Chatterjee instant download after payment.

Publisher: Wiley-Interscience
File Extension: PDF
File size: 18.21 MB
Pages: 365
Author: Samprit Chatterjee, Ali S. Hadi
ISBN: 9780471746966, 0471746967
Language: English
Year: 2006
Edition: 4

Product desciption

Regression Analysis By Example 4th Edition Samprit Chatterjee by Samprit Chatterjee, Ali S. Hadi 9780471746966, 0471746967 instant download after payment.

The essentials of regression analysis through practical applicationsRegression 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 judgement. Regression Analysis by Example, Fourth 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. This new edition features the following enhancements:Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysisA new chapter entitled Further Topics discusses advanced areas of regression analysis Reorganized, expanded, and upgraded exercises appear at the end of each chapterA fully integrated Web page provides data setsNumerous graphical displays highlight the significance of visual appealRegression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. 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 of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.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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