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: HPB-Red, Dallas, TX, U.S.A.
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