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

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