SAS for Linear Models, Fourth Edition

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. This comprehensive introduction to analyzing linear models with the SAS Systemexamines the features and capabilities of the REG, ANOVA and GLM procedures. Readers will learn how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. In-depth discussions are also included on multivariate linear models, lack-of-fit analysis, covariance and heterogeneity of slopes, a classification with both crossed and nested effects, and analysis of variance for balanced data Annotation This clear and comprehensive guide provides everything needed for powerful linear model analysis. Using a tutorial approach and plenty of examples, the authors lead through methods related to analysis of variance with fixed and random effects. New in this edition: MIXED and GENMOD procedures, updated examples and new software-related features