\u003cp\u003e\u003cb\u003e Discover the power of mixed models with SAS.\u003c/b\u003e\nMixed modelsânow the mainstream vehicle for analyzing most research dataâare part of the core curriculum in most masterâs degree programs in statistics and data science. In a single volume, this book updates both \u003ci\u003eSAS® for Linear Models, Fourth Edition\u003c/i\u003e, and \u003ci\u003eSAS® for Mixed Models, Second Edition\u003c/i\u003e, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, \u003ci\u003eSAS® for Mixed Models\u003c/i\u003e is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS.\u003c/p\u003e \n\nThis book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: \n\u003cul\u003e \n\u003cli\u003eRandom-effect-only and random-coefficients models\u003c/li\u003e \n\u003cli\u003eMultilevel, split-plot, multilocation, and repeated measures models\u003c/li\u003e \n\u003cli\u003eHierarchical models with nested random effects\u003c/li\u003e \n\u003cli\u003eAnalysis of covariance models\u003c/li\u003e \n\u003cli\u003eGeneralized linear mixed models \u003c/li\u003e\u003c/ul\u003e \n\u003c/p\u003e\nThis book is part of the SAS Press program.
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