Advanced regression models with SAS and R /
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519.5 Common errors in statistics (and how to avoid them) | 519.5 Statistics for management | 519.50 285 HOR/U Using R for data management, statistical analysis, and graphics / | 519.5/36 KOR/A Advanced regression models with SAS and R / | 519.5 ACE/D Data analysis and statistics for geography, environmental science, and engineering / | 519.5 AJA/T Mathematics and Statistics | 519.5 ARO/C Comprehensive statistical methods |
Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors.
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