SAS for Linear Models, 4th EditionISBN: 978-0-471-22174-6
Paperback
496 pages
May 2002
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Features and capabilities of the REG, ANOVA, and GLM procedures are
included in this introduction to analysing linear models with the
SAS System. This guide shows how to apply the appropriate procedure
to 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. This
fourth edition includes updated examples, new software-related
features, and new material, including a chapter on generalised
linear models. Version 8 of the SAS System was used to run the SAS
code examples in the book.
* Provides clear explanations of how to use SAS to analyse linear models
* Includes numerous SAS outputs
* Includes new chapter on generalised linear models
* Uses version 8 of the SAS system
This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.
* Provides clear explanations of how to use SAS to analyse linear models
* Includes numerous SAS outputs
* Includes new chapter on generalised linear models
* Uses version 8 of the SAS system
This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.