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Regression Analysis By Example Using R

About Regression Analysis By Example Using R

Regression Analysis by Example Using R, Sixth 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. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software packages R, SPSS, SAS, and Minitab. Aimed at undergraduate and graduate students in statistics, the book is suitable for anyone with an understanding of elementary statistics.

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  • Language:
  • English
  • ISBN:
  • 9781119830870
  • Binding:
  • Hardback
  • Pages:
  • 480
  • Published:
  • September 27, 2023
  • Edition:
  • 6
  • Dimensions:
  • 237x159x33 mm.
  • Weight:
  • 810 g.
Delivery: 2-4 weeks
Expected delivery: September 13, 2025

Description of Regression Analysis By Example Using R

Regression Analysis by Example Using R, Sixth 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. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software packages R, SPSS, SAS, and Minitab. Aimed at undergraduate and graduate students in statistics, the book is suitable for anyone with an understanding of elementary statistics.

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