This clear and comprehensive guide provides everything you need for powerful linear model analysis. Using a tutorial approach and plenty of examples, the authors 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.
Ramon Littell is Professor of Statistics at the University of Florida, where he teaches applied statistics and serves as a consulting statistician at the Institute of Food and Agricultural Sciences. Dr. Littell is coauthor of the three previous editions of this book with Dr. Freund and is also widely published in statistical and applied journals. He is also coauthor of SAS System for Regression, Third Edition; SAS System for Mixed Models; and SAS System for Elementary Statistical Analysis, Second Edition. A SAS user since 1972, Dr. Littell has served as SUGI chairman and is a Fellow of the American Statistical Association. Walter Stroup is currently head of the Department of Biometry at the University of Nebraska, where he also holds a teaching, research, and consulting appointment at the Institute of Agriculture and Natural Resources. 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. A SAS user since 1975, Dr. Stroup is coauthor of SAS" System for Mixed Models. Rudolf Freund 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.
A tutorial approach and many examples lead readers through methods related to analysis of variance with fixed and random effects and show how to choose the most appropriate SAS procedures for most experiment designs, such as completely random, randomized blocks, and split plot designs, as well as factorial treatment designs and repeated measures. Also covered are analysis of covariance, multivariate linear models, and generalized linear models for non-normal data. This fourth edition is updated to reflect the evolution of contemporary software and statistical analysis methods, covering MIXED and GENMOD procedures in detail. Littell teaches statistics at the University of Florida. Annotation c. Book News, Inc., Portland, OR (booknews.com)