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9783031081750

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“The present book offers a unified introduction to general linear models and design of experiments with special attention to the connections between the two topics. … The material is organized originally and pleasantly and the style is always agreeable. Some special features make this book unique among the dozens of other books on the same topic. … this book is intended as a textbook for students with a solid mathematical background.” (Fabio Rapallo, zbMATH 1532.62003, 2024)

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​Jay H. Beder is Professor Emeritus in the Department of Mathematical Sciences at the University of Wisconsin – Milwaukee.  He has published papers in statistical design theory as well as on inference for Gaussian processes, with applications to evolutionary biology.  He has taught courses in linear models, design, and combinatorics for over 30 years, and is the recipient of teaching awards from his college and his university.

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