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Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9781642953268_lsuk
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar2811580237759
Description du livre Etat : New. N° de réf. du vendeur 37567125-n
Description du livre HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781642953268
Description du livre Etat : New. N° de réf. du vendeur 37567125-n
Description du livre Hardcover. Etat : new. This item is printed on demand. N° de réf. du vendeur 9781642953268
Description du livre HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781642953268
Description du livre Hardcover. Etat : Brand New. 552 pages. 11.38x8.86x1.34 inches. In Stock. N° de réf. du vendeur x-1642953261
Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnEdward Vonesh s Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require th. N° de réf. du vendeur 301387079
Description du livre Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Edward Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately. N° de réf. du vendeur 9781642953268