01257nam a2200361 i 450099100076195970753620020507173244.0960430s1979 de ||| | eng 3540095071b10753722-39ule_instLE01301941ExLDip.to Matematicaeng512.4AMS 13C05AMS 13F05Brandal, Willy56596Commutative rings whose finitely generated modules decompose /Willy BrandalBerlin :Springer-Verlag,1979116 p. ;25 cm.Lecture notes in mathematics,0075-8434 ;723Bibliography: p. [110]-112.Includes indexCommutative ringsDecompositionDedekind and Prüfer ringsModulesStructure, classification theorems.b1075372223-02-1728-06-02991000761959707536LE013 13C BRA11 (1979)12013000047027le013-E0.00-l- 01010.i1084742x28-06-02Commutative rings whose finitely generated modules decompose81088UNISALENTOle01301-01-96ma -engde 0103300nam 22005895 450 991048485210332120250609110801.09789811586590981158659410.1007/978-981-15-8659-0(CKB)4100000011568959(DE-He213)978-981-15-8659-0(MiAaPQ)EBC6455935(PPN)252505352(MiAaPQ)EBC31886965(Au-PeEL)EBL31886965(OCoLC)1225563175(MiAaPQ)EBC6396129(EXLCZ)99410000001156895920201113d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierA First Course in Linear Models and Design of Experiments /by N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (XIV, 230 p. 26 illus.) Includes index.9789811586583 9811586586 Linear Estimation -- Linear Hypotheses and Their Tests -- Block Designs -- Row-Column Designs -- Factorial Experiments -- Analysis of Covariance -- Missing Plot Technique -- Split Plot Design.This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific models in designing statistical experiments. The book includes topics on the basic theory of linear models covering estimability, criteria for estimability, Gauss–Markov theorem, confidence interval estimation, linear hypotheses and likelihood ratio tests, the general theory of analysis of general block designs, complete and incomplete block designs, general row column designs with Latin square design and Youden square design as particular cases, symmetric factorial experiments, missing plot technique, analyses of covariance models, split plot and splitblock designs. Every chapter has examples to illustrate the theoretical results and exercises complementing the topics discussed. R codes are provided at the end of every chapter for at least one illustrative example from the chapter enabling readers to write similar codes for other examples and exercise.StatisticsSampling (Statistics)Statistical Theory and MethodsMethodology of Data Collection and ProcessingStatistics.Sampling (Statistics)Statistical Theory and Methods.Methodology of Data Collection and Processing.519.5Madhyastha N. R. Mohan978509Praveena A. S.MiAaPQMiAaPQMiAaPQBOOK9910484852103321A first course in linear models and design of experiments2230337UNINA