Average Reviews:
(More customer reviews)I took Prof. Faraway's course 10 years ago in which we used a very early version of this book. I am glad to see that this book is finally in print. For years I have been using Prof. Faraway's notes teaching a graduate course on regression. What I like this book most is its emphasis on practical usage and pitfalls of linear models. This is how linear regression and statistical modeling should be taught but I am not aware of any other textbooks doing the same thing.
This book, just as its author, is thin, clean and concise. It does not always explain and reveal things in full detail. If you are smart, like to think and explore data using R/Splus, or have a good mentor, this book fits you well. Its discussion on principle component analysis, in my opinion, is a little bit weak.
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This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made. The author places less emphasis on mathematical theory, partly because some prior knowledge is assumed and partly because the issues are better tackled elsewhere. An interesting aspect of this book is the author's emphasis on statistical theory and qualitative aspects of the topic. He highlights the importance of data analysis and stresses its inportance through use of the inclusion of R software.
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