Applied Multivariate Statistics With Sas Software

Real-world problems and data sets are the backbone of this book. Applied Multivariate Statistics with SAS Software, Second Edition provides a unique approach to the 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 corresponding IML procedure code, and covariance structures.
The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries.

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.