1/26/2012

Methods and Applications of Linear Models: Regression and the Analysis of Variance (Wiley Series in Probability and Statistics) Review

Methods and Applications of Linear Models: Regression and the Analysis of Variance (Wiley Series in Probability and Statistics)
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My cohort in an 2-year MS Stat program almost universally hated this text (of us all, I was probably the one least opposed to it). Hocking skipped too many steps for us ("It is easy to see ..."). He often takes a geometric approach, but presents it at a level that was incomprehensible to any of us (including our professor). I don't doubt Hocking knows what he was talking about, or even that some other readers might, but it was beyond all of us, many of whom as undergrads majored in math or statistics, for what that's worth.
For theory of the linear model, consider Rencher and Schaalje's Theory of the Linear Model, which is extremely thorough and clear, has solutions to all exercises, great for self-study It doesn't cover all the material that Hocking does, though.

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The Second Edition has been rearranged and reorganized, as well as fully updated and expanded to cover new developments.* Includes material on the AVE method and explains existing information in an even more user-friendly form.* Includes additional exercises.* Describes a general approach to the analysis of unbalanced mixed models* Uses data-based approach to development and analysis.* Data sets will be available on an FTP site

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