SAS for Mixed Models 2nd Edition

Date: 19 January 2011, 07:53

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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?. 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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