001451350 000__ 02988cam\a2200421Mu\4500
001451350 001__ 1451350
001451350 003__ OCoLC
001451350 005__ 20230310004655.0
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001451350 007__ cr\un\nnnunnun
001451350 008__ 221119s2022\\\\sz\\\\\\o\\\\\000\0\eng\d
001451350 019__ $$a1350939517
001451350 020__ $$a9783031081767$$q(electronic bk.)
001451350 020__ $$a3031081765$$q(electronic bk.)
001451350 020__ $$z3031081757
001451350 020__ $$z9783031081750
001451350 0247_ $$a10.1007/978-3-031-08176-7$$2doi
001451350 035__ $$aSP(OCoLC)1351197600
001451350 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ
001451350 049__ $$aISEA
001451350 050_4 $$aQA279
001451350 08204 $$a519.5$$223/eng/20221130
001451350 1001_ $$aBeder, Jay H.
001451350 24510 $$aLinear models and design /$$cJay H. Beder.
001451350 260__ $$aCham :$$bSpringer,$$c2022.
001451350 300__ $$a1 online resource (358 p.)
001451350 506__ $$aAccess limited to authorized users.
001451350 520__ $$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.
001451350 588__ $$aOnline resource; title from PDF title page (SpringerLInk, viewed November 30, 2022).
001451350 650_0 $$aLinear models (Statistics)
001451350 655_0 $$aElectronic books.
001451350 77608 $$iPrint version:$$aBeder, Jay H.$$tLinear Models and Design$$dCham : Springer International Publishing AG,c2022$$z9783031081750
001451350 852__ $$bebk
001451350 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-08176-7$$zOnline Access$$91397441.1
001451350 909CO $$ooai:library.usi.edu:1451350$$pGLOBAL_SET
001451350 980__ $$aBIB
001451350 980__ $$aEBOOK
001451350 982__ $$aEbook
001451350 983__ $$aOnline
001451350 994__ $$a92$$bISE