ISBN: 9781599946474 - generalized linear and nonlinear models for correlated data: theory and applications using sas (4 Ergebnisse)

- Softcover
Anbieter: BookOrders, Russell, IA, USABookOrders
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EUR 41,37
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Soft Cover. Zustand: Acceptable. Ex-library with the usual features. The interior is clean and tight. Binding is good. Cover is slightly edge worn and curled at edges. There is a crease on back cover. 538 pages. Ex-Library.

- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Paperback. Zustand: Very Good. Edward F. 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.…

- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 115,25
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Zustand: New. In English.

- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 159,34
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Perfect Paperback. Zustand: Brand New. pap/psc edition. 538 pages. 11.00x8.25x1.25 inches. In Stock.