| 书目名称 | Linear Models and Design | | 编辑 | Jay H. Beder | | 视频video | | | 概述 | Guides students using a carefully paced exposition of the theory underlying linear models and experimental design.Provides a resource for researchers seeking a thorough mathematical treatment of the f | | 图书封面 |  | | 描述 | This book is designed as a textbook for graduate students and as a resource for researchers seeking a thorough mathematical treatment of its subject. It develops the main results of regression and the analysis of variance, as well as the central results on confounded and fractional factorial experiments. Matrix theory is deemphasized; its role is taken instead by the theory of linear transformations between vector spaces..The text gives a carefully paced and unified presentation of two topics, linear models and experimental design. Students are assumed to have a solid background in linear algebra, basic knowledge of regression and analysis of variance, and some exposure to experimental design, and should be comfortable with reading and constructing mathematical proofs..The book leads students into the mathematical theory, including many examples both for motivation and for illustration. Over 130 exercises of varying difficulty are included. An extensive mathematical appendix and a detailed index make the text especially accessible..Linear Models and Design. can serve as a textbook for a year-long course in the topics covered, or for a one-semester course in either linear model theo | | 出版日期 | Textbook 2022 | | 关键词 | Linear Models; Design of Experiments; Analysis of Variance; Cell-means Model; Least Squares Estimation; S | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-08176-7 | | isbn_softcover | 978-3-031-08178-1 | | isbn_ebook | 978-3-031-08176-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:43:10
