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Linear models and design
~
Beder, Jay H.
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Linear models and design
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Linear models and design/ by Jay H. Beder.
作者:
Beder, Jay H.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxi, 343 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Linear models (Statistics) -
電子資源:
https://doi.org/10.1007/978-3-031-08176-7
ISBN:
9783031081767
Linear models and design
Beder, Jay H.
Linear models and design
[electronic resource] /by Jay H. Beder. - Cham :Springer International Publishing :2022. - xxi, 343 p. :ill., digital ;24 cm.
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 theory or experimental design. It prepares students for more advanced topics in the field, and assists in developing a thoughtful approach to the existing literature. It includes a guide to terminology as well as discussion of the history and development of ideas, and offers a fresh perspective on the fundamental concepts and results of the subject.
ISBN: 9783031081767
Standard No.: 10.1007/978-3-031-08176-7doiSubjects--Topical Terms:
533190
Linear models (Statistics)
LC Class. No.: QA279
Dewey Class. No.: 519.5
Linear models and design
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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 theory or experimental design. It prepares students for more advanced topics in the field, and assists in developing a thoughtful approach to the existing literature. It includes a guide to terminology as well as discussion of the history and development of ideas, and offers a fresh perspective on the fundamental concepts and results of the subject.
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