Applied Multivariate Statistics With SAS Software 2nd edition 2003

Applied Multivariate Statistics With SAS Software 2nd edition 2003
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Editorial Reviews 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,

Rochester, Michigan, received his graduate training at the Indian Statistical

Institute in Calcutta.He received his Ph.D. at the University of Pittsburgh

in 1985. He is an author or coauthor of numerous research papers on

theoretical and applied statistics in various national and international

journals and conference proceedings. His research interests include

multivariate analysis, experimental designs, quality control, repeated

measures, and statistical inference. In addition to teaching graduate and

undergraduate courses, Dr. Khattree regularly consults with industry

and academic researchers on various applied statistics problems. He is also

an associate editor of Communications in Statistics and an editor of

InterStat, a statistics journal on the Internet.

Dayanand N. Naik

Dayanand N. Naik is an associate professor of statistics at Old Dominion

University, Norfolk, Virginia. He received his M.S. degree in statistics

from Karnatak University in Dharwad, India, and a Ph.D. degree in statistics

from the University of Pittsburgh in 1985. He has published his research in

several well-known journals, and he is the thesis advisor for many graduate

students. His research and teaching interests include multivariate analysis,

linear models, quality control, regression diagnostics, repeated measures

analysis, and growth curve models. Dr. Naik is also an editor of InterStat,

a statistics journal on the Internet.