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Linear Models (Hardcover) (Marvin H. J. Gruber)
About this item
The purpose of this book is to define a broad spectrum of statistical linear models that is useful in the analysis of data. Considered a "classic" for years, the material in this book is now presented in a more explanatory style rather than the strict formal theorem-proof format of the current/first edition. Written in such a way as to be self-contained, the text includes numerous applied illustrations, numerical examples, and exercises, now augmented since its first revision with computer discussions of SAS and R. Also new to this edition is the addition of a co-author who has had over 30 years of teaching experience in the subject matter; a greatly improved internal design and format; a slightly reorganized, bite-sized chapter sequence to ease discussion; the addition of many pedagogical elements throughout the book ranging from a simpler numeration system to end-of-example and end-of-proof symbols; selected hints and solutions to exercises at the rear of the book; and references to "big data" in everyday life.