000 02279nam a22002775i 4500
001 91218
005 20231026103816.0
010 _a978-3-031-08176-7
_dcompra
090 _a91218
100 _a20231023d2022 k||y0pory50 ba
101 0 _aeng
102 _aCH
200 1 _aLinear models and design
_bDocumento eletrónico
_fby Jay H. Beder
210 _aCham
_cSpringer International Publishing
_cSpringer
_d2022
215 _aXXI, 343 p.
_cil.
303 _aThis 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.
606 _aStatistics 
606 _aExperimental design
606 _aBiometry
680 _aQA276-280
700 1 _aBeder
_bJay H.
801 0 _aPT
_gRPC
856 4 _uhttps://doi.org/10.1007/978-3-031-08176-7
942 _2lcc
_cF
_n0