From the Back Cover
Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS? Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on
* mixed effects models
* applications of the MIXED procedure
* regression diagnostics with the correspoding IML procedure code
* covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.
--This text refers to an alternate
Paperback
edition.
About the Author
Ravindra Khattree Ravindra Khattree, professor of applied statistics at Oakland University,
conducts research in multivariate analysis, experimental designs, quality
control, and statistical inference. Also a consultant to industry and
academic researchers, Khattree has published numerous papers on
theoretical and applied statistics. He has been a SAS user for ten years.
Dayanand N. Naik
Dayanand N. Naik is an associate professor of statistics at Old Dominion
University. With a background in research and teaching multivariate
analysis, linear models, regression diagnostics, and growth curve models,
Naik has published his research in numerous professional journals.
He has also been a SAS user for ten years.
