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SAS for Linear Models
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Binding: Paperback
Dewey Decimal Number: 005
EAN: 9781590470237
Edition: 4th
ISBN: 1590470230
Label: SAS Publishing
Manufacturer: SAS Publishing
Number Of Items: 1
Number Of Pages: 496
Publication Date: March 22, 2002
Publisher: SAS Publishing
Studio: SAS Publishing
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Editorial Review:
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.
Customer Reviews
Average Rating: 
Rating:  - Nice primer on linear models
This is the fourth edition of this primer on linear models by Littell and Freund. As with the previous editions it gives a thorough treatment of the models and their application through the use of SAS procedures. In the fourth edition, Walter Stroup has been added and Phil Spector dropped as coauthor. Also this edition drops the word "System" in the title after "SAS". The main addition to this edition is the inclusion of a lot of detailed information on the application of mixed effects models through ... Read More
Rating:  - Absolutely useless for economists and finance pros
I give this book two stars from an econometrician's point of view. This book focuses on linear models related to ANOVA and hence may have a good audience in disciplines such as statistics, biostatistics, etc, but it has ABSOLUTELY nothing useful for people interested in econometrics or financial statistics.
For example, the book doesn't even mention heteroskedasticity at all, and there's absolutely no time series coverage. In econometrics we also do weighted regressions a lot, and this ... Read More
Rating: - fourth edition with useful new features
This is the fourth edition of this primer on linear models by Littell and Freund. As with the previous editions it gives a thorough treatment of the models and their application through the use of SAS procedures. In the fourth edition, Walter Stroup has been added and Phil Spector dropped as coauthor. Also this edition drops the word "System" in the title after "SAS". The main addition to this edition is the inclusion of a lot of detailed information on the application of mixed effects models through ... Read More
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