SAS for Mixed Models

✍ Scribed by Ramon C. Littell, Ph.D., George A. Milliken, Ph.D, Walter W. Stroup, Russell D. Wolfinger, Oliver Schabenberber

• Book ID: 127435607
• Publisher: SAS Institute, Inc
• Year: 2006
• Tongue: English
• Weight: 8 MB
• Edition: 2nd ed
• Category: Library
• City: Cary, N.C
• ISBN: 1590475003

✦ Synopsis

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