Wow! eBook
Regression Analysis By Example Using R (Wiley Series in Probability and Statistics)
by: Ali S. Hadi (Author), Samprit Chatterjee (Author)
Publisher: Wiley
Edition: 6th
Publication Date: 2023-10-31
Language: English
Print Length: 480 pages
ISBN-10: 1119830877
ISBN-13: 9781119830870
Book Description
Regression Analysis By Example Using RA STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSISIn the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R.Readers will also find: Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysisUpdated data sets and examples throughout the bookComplimentary access to a companion website that provides data sets in xlsx, csv, and txt formatPerfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
Editorial Reviews
Regression Analysis By Example Using RA STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSISIn the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R.Readers will also find: Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysisUpdated data sets and examples throughout the bookComplimentary access to a companion website that provides data sets in xlsx, csv, and txt formatPerfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
