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Regression Analysis by Example 5th Edition by Samprit Chatterjee and Ali S. Hadi, ISBN-13: 978-0470905845

Regression Analysis by Example 5th Edition by Samprit Chatterjee and Ali S. Hadi, ISBN-13: 978-0470905845

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Regression Analysis by Example 5th Edition by Samprit Chatterjee and Ali S. Hadi, ISBN-13: 978-0470905845

[PDF eBook eTextbook]

  • Publisher: ‎ Wiley; 5th edition (August 23, 2012)
  • Language: ‎ English
  • ‎420 pages
  • ISBN-10: ‎ 0470905840
  • ISBN-13: ‎ 978-0470905845

Praise for the 5th 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

“The text is suitable for anyone with an understanding of elementary statistics.” (Zentralblatt MATH, 1 July 2013)

“All in all, here we have a nice and valuable up-to-date book showing examples how the famous ever-lasting regression analysis works with the data. No doubt, this book will continue to be frequently used in statistics classrooms.” (International Statistical Review, 15 February 2013)

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