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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 indepth 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 analysisReorganized, 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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- Q: What is the main focus of 'Regression Analysis by Example'? A: 'Regression Analysis by Example' emphasizes exploratory data analysis instead of statistical theory, providing practical applications of regression analysis.
- Q: Who is the author of this book? A: The book is authored by Samprit Chatterjee.
- Q: What edition is 'Regression Analysis by Example' currently in? A: This book is in its fourth edition, which has been expanded and updated to reflect recent advances in regression analysis.
- Q: How many pages does the book have? A: 'Regression Analysis by Example' contains 408 pages.
- Q: Is there a manual available for instructors? A: Yes, an Instructor's Manual with detailed solutions to all problems in the book is available from the Wiley editorial department.
- Q: What types of regression techniques are covered in the book? A: The book covers various regression techniques including regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
- Q: Can the methods in the book be used with statistical software? A: Yes, the methods described can be implemented using most currently available statistical software packages, including R.
- Q: What enhancements are included in the fourth edition? A: The fourth edition includes an expanded chapter on logistic regression, a new chapter on further topics in regression, reorganized exercises, and a fully integrated web page for data sets.
- Q: Is this book suitable for beginners in statistics? A: Yes, 'Regression Analysis by Example' is suitable for anyone with an understanding of elementary statistics.
- Q: What is the binding type of the book? A: The book is available in hardcover binding.