A summary of the concepts and methodologies of linear models, containing chapter exercises and real-world examples. Offers a unified treatment of linear regression and the analysis of variance, focusing on the appropriate interpretation of results, with material on mixed models that has not previously appeared in the literature. Features a data-based approach to development and analysis, use of the cell means model, and an introduction to the AVE model. For upper-level undergraduate and graduate students . Annotation c. by Book News, Inc., Portland, Or.
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Ronald R. Hocking is Professor Emeritus in the Department of Statistics at Texas A&M University. He received his PhD in mathematics and statistics and is a Fellow of the American Statistical Association.
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Da: Better World Books: West, Reno, NV, U.S.A.
Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Codice articolo 15935910-6
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Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_401616720
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Da: Row By Row Bookshop, Sugar Grove, NC, U.S.A.
Hardcover. Condizione: Good. Condizione sovraccoperta: No Dust Jacket. First Edition. An ex-library copy in original decorated hard covers of this 731-page work. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued. Book. Codice articolo 062989
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