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Overview: A straightforward and concise discussion of the essentials of regression analysis. In 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. R is a universal language specially suited for statistical computing and graphics, which makes it of interest to researchers and practitioners in Mathematics, Statistics, and Data Science fields. R is also a collection of programs (called functions), which are organized in different but specialized packages (or libraries). These packages are written by professional developers who provide comprehensive collection of help pages that explains every element in R.
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