Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analyzing linear models with the SAS System. This clearly written guide will show you how to apply the appropriate procedure to your data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: 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.

Supports releases 6.09 and higher of SAS software.

About the Author

Ramon C. Littell, Ph.D., Rudolf J. Freund, Ph.D., Philip C. Spector, Ph.D.
Dr. Littell and Dr. Freund, both SAS users since 1972 and former SUGI chairs, were closely associated with the Southern Regional Project that funded continued SAS development at North Carolina State University. In addition to their university positions, both authors publish widely in statistical and applied journals, consult in industry, and serve as Consulting Statisticians to their state Agricultural Experiment Stations. They are both fellows of the American Statistical Associations.

Dr. Spector has also had extensive experience with the SAS System. He was formerly a Senior Research Statistician at SAS Institute Inc. and is currently employed at the University of California at Berkeley.

"About this title" may belong to another edition of this title.

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