By Ramon C. C. Littell - SAS System for Linear Models,Third Edition: 3rd (third) Edition

by Ramon C. Littell

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 procedur e 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 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 MIXED and GENMOD procedures, updated examples, new software-related features, and other new material. Supports releases 6.09 and higher of SAS software.

About the

Ramon C. Littell, Ph.D. is Professor of Statistics at theUniversity of Florida, where he teaches applied statistics and serves asa consulting statistician at the Institute of Food and AgriculturalSciences. Dr. Littell is coauthor of the three previous editions of thisbook with Dr. Freund and is also widely published in statistical andapplied journals. He is also coauthor of SAS System for Regression,Third Edition; SAS System for Mixed Models; and SAS System forElementary Statistical Analysis, Second Edition. A SAS user since 1972,Dr. Littell has served as SUGI chairman and is a Fellow of the AmericanStatistical Association.

Walter W. Stroup, Ph.D. is currently head of the Department ofBiometry at the University of Nebraska, where he also holds a teaching,research, and consulting appointment at the Institute of Agriculture andNatural Resources. Dr. Stroup received a B.A. degree in psychology fromAntioch College, and M.S. and Ph.D. degrees in statistics from theUniversity of Kentucky. He is widely published in statistical andapplied journals and has participated in a number of symposia on issuesin statistical consulting and statistical modeling. A SAS user since1975, Dr. Stroup is coauthor of SAS System for Mixed Models.

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

Unknown Binding

First published January 1, 1991