This book has hardback covers. Ex-library, With usual stamps and markings, In good all round condition.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
"A textbook for students who have some background in statistics but are not specialists in it, and who use regression analysis quite extensively in their work. Students who are specializing in statistics might find it a useful balance..." ( SciTech Book News, Vol. 24, No. 4, December 2000)
Overall, the material that is covered is an excellent introduction to a substantial collection of diagnostic tools that aid in uncovering hidden structures in one′s data. I would recommend the book as an addition to any applied statistician′s library. (Technometrics, Vol. 42, No. 4, May 2001)
This book is a thorough overview and introduction to regression analysis that is sensibly arranged and easy to read. Care has been taken to provide verbal explanations for quanitative and algebraic expressions, and to provide interpretations for statistical results and insights. (The Statistician, 50 (1), 2001)
"This book is a major rewriting and reorganization of previous editions. New material is added to reflect advances in the field." (Zentralblatt MATH, Vol. 946, No. 21)
"...a thorough overview of diagnostic tools for regression models that are sensibly arranged and easily understood..." (Statistical Methods in Medical Research, Vol.12, No.1, 2003)
...excellent introduction to a substantial collection of diagnostic tools that aid in uncovering hidden structures in one′s data. (Technometrics, Vol. 42, No. 4, May 2001)
[...] a thorough overview and introduction to regression analysis that is sensibly arranged and easy to read. (The Statistician, 50 (1), 2001)
"This book is a major rewriting and reorganization of previous editions. New material is added to reflect advances in the field." (Zentralblatt MATH, Vol. 946, No. 21)
"...a thorough overview of diagnostic tools for regression models that are sensibly arranged and easily understood..." (Statistical Methods in Medical Research, Vol.12, No.1, 2003)
The essentials of regression analysis through practical applications 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 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 analysis A new chapter entitled Further Topics discusses advanced areas of regression analysis Reorganized, expanded, and upgraded exercises appear at the end of each chapter A fully integrated Web page provides data sets Numerous graphical displays highlight the significance of visual appeal Regression 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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