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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
US$ 3.75 shipping within U.S.A.
Destination, rates & speedsSeller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_411275099
Quantity: 1 available