SAS for Linear Models, Fourth Edition

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SAS Institute, Mar 22, 2002 - Mathematics - 492 pages
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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 designs and repeated measures. SAS for Linear Models, Fourth Edition, also includes analysis of covariance, multivariate linear models, and generalized linear models for non-normal data. Find inside: regression models; balanced ANOVA with both fixed- and random-effects models; unbalanced data with both fixed- and random-effects models; covariance models; generalized linear models; multivariate models; and repeated measures. New in this edition: MIXED and GENMOD procedures, updated examples, new software-related features, and other new material. This book is part of the SAS Press program.
 

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Contents

Chapter 3 Analysis of Variance for Balanced Data
33
Chapter 4 Analyzing Data with Random Effects
91
Basic Methods
141
Chapter 6 Understanding Linear Models Concepts
163
Chapter 7 Analysis of Covariance
229
Chapter 8 RepeatedMeasures Analysis
265
Chapter 9 Multivariate Linear Models
305
Chapter 10 Generalized Linear Models
325
Chapter 11 Examples of Special Applications
389
References
441
Index
447

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About the author (2002)

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 of mixed models in collaboration with researchers in agriculture, natural resources, medical and pharmaceutical sciences, education, and the behavioral sciences. Dr. Stroup received a B.A. degree in psychology from Antioch College, and M.S. and Ph.D. degrees in statistics from the University of Kentucky. He is widely published in statistical and applied journals and has participated in a number of symposia on issues in statistical consulting and statistical modeling. He has taught numerous short courses and workshops on generalized linear mixed models. A SAS user since 1975, Dr. Stroup is coauthor of SAS for Linear Models, Fourth Edition, SAS for Mixed Models, both editions. In additional, Dr. Stroup is author of Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, an introduction to GLMMs that makes extensive use of SAS examples.

Rudolf J. Freund, Ph.D. former associate director and cofounder of the Department of Statistics at Texas A & M University, is now professor emeritus. Dr. Freund received an M.A. degree in economics from the University of Chicago in 1951 and a Ph.D. in statistics from North Carolina State College (now North Carolina State University) in 1955. He has coauthored several books including SAS System for Regression, Third Edition; Regression Methods; and Statistical Methods and Regression Analysis. Dr. Freund has been a SAS user since 1972, and is a former SUGI chairman.

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