Applied Linear. Statistical Models. Fifth Edition. EmOlY University. Christopher J. University of Minnesota. Statistics Books for Loan. Applied Linear Statistical Models by Neter, Kutner, Nachtsheim and Wasserman (located in regression section) Statistical Principles in Experimental Design, Second Edition by J. (PDF, free download) Multilevel Statistical Models by Harvey Goldstein (PDF, free download).
Overall, I think that this is a very good textbook.
I purchased this book because it was required reading for two courses I took simultaneously (at a university) – linear regression and ANOVA. This book has a lot of detail, which is likely not a problem for an experienced learner of statistics and/or mathematics. Coming from only an introductory statistics course however, this book took a lot of patience and careful thought to read through. The courses I took did not always go through this book in order, nor did they require students to know basic matrix algebra to enroll. I found that I could only read this book if I went from front-to-back, filling my knowledge gaps in matrix algebra and what-not to make sure I understood everything in the later chapters. Finally, I wish to point out that this book makes no mention of R, which is being increasingly used in the social sciences. This is not a fault of this book, as when this book was originally written, R was not very relevant (to the best of my knowledge). However, as R becomes increasingly important, the example outputs from SAS, minitab, etc. in this book are less relevant, while example R output with analyses would be quite helpful. Perhaps later editions of this book do include R output.
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