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At last! A completely revised edition of the comprehensive, applications-oriented mixed models guide for data analysis. Discover the latest
capabilities available for a wide range of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS/STAT software. This
practical guide integrates the theory underlying the models, the specific forms of the models for various applications, and examples from
many different fields of study using appropriate SAS code with interpretation of results. Specific models discussed include: random-effect
only and random coefficients, split-plot, multilocation, and repeated measures, hierarchical models with nested random effects, analysis
of covariance, spatial correlation, generalized linear mixed models, nonlinear mixed models. With a background in two-way ANOVA and
regression and basic knowledge of linear models and matrix algebra, you will benefit from the discussion of basic to advanced topics
in this book. A working knowledge of experimental design is also helpful. The text is completely revised and contains new material.
All examples have been updated to SAS 9. Includes a free CD-ROM with SAS sample code!
Order your copy now from our online bookstore. |
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