SAS for Mixed Models - by Walter W Stroup & George A Milliken & Elizabeth a Claassen (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b> Discover the power of mixed models with SAS.</b> Mixed models-now the mainstream vehicle for analyzing most research data-are part of the core curriculum in most master's degree programs in statistics and data science. In a single volume, this book updates both <i>SAS(R) for Linear Models, Fourth Edition</i>, and <i>SAS(R) for Mixed Models, Second Edition</i>, 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, <i>SAS(R) for Mixed Models</i> is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS.</p> This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: <ul> <li>Random-effect-only and random-coefficients models</li> <li>Multilevel, split-plot, multilocation, and repeated measures models</li> <li>Hierarchical models with nested random effects</li> <li>Analysis of covariance models</li> <li>Generalized linear mixed models </li></ul> </p> This book is part of the SAS Press program.
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