SAS for Mixed Models
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The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely revised and updated for SAS?®9. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models split-plot, multilocation, and repeated measures models hierarchical models with nested random effects analysis of covariance models spatial correlation models generalized linear mixed models nonlinear mixed models
LF/248559/R
Характеристики
- ФИО Автора
- George A. Milliken
Oliver Schabenberber
Ph.D
Ph.D.
Ramon C. Littell
Russell D. Wolfinger
Walter W. Stroup - Язык
- Английский
- ISBN
- 9781590475003
- Дата выхода
- 2006
