Items related to SAS for Linear Models, Fourth Edition
Synopsis
This clear and comprehensive guide provides everything you need for powerful linear model analysis. Using a tutorial approach and plenty of examples, authors Ramon Littell, Walter Stroup, and Rudolf Freund lead you through methods related to analysis of variance with fixed and random effects. You will learn to use the appropriate SAS procedure for most experiment designs (including completely random, randomized blocks, and split plot) as well as factorial treatment...
About the Author
Ramon C. Littell, Ph.D., Professor of Statistics at the University of Florida, is the coauthor of several books, including SAS System for Regression, Third Edition, and SAS for Linear Models, Fourth Edition. He has worked with SAS software since 1986.
Walter W. Stroup, Ph.D., is currently professor in the Department of Statistics at the University of Nebraska. His responsibilities include teaching statistical modeling, design of experiments, and research applications...
Review
The major enhancement in the fourth edition involves the addition of substantial information and detailed examples on mixed models using PROC MIXED as well as thorough comparisons of PROC MIXED and PROC GLM analyses. It serves as an excellent introduction to PROC MIXED for the most common mixed-models situations (nested, two-way cross-classifications, split-plots, models with mixtures of crossed and nested effects and repeated measures), using classical random-effects assumptions. There are...
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- PublisherSAS Institute
- Publication date2002
- ISBN 10 1590470230
- ISBN 13 9781590470237
- BindingPaperback
- LanguageEnglish
- Edition number4
- Number of pages492
- Rating
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