Applied Multivariate Statistics with SAS Software, Second EditionSAS Institute, 03.02.2000 - 368 Seiten Real-world problems and data sets are the backbone of
Ravindra Khattree and Dayanand Naik's Applied Multivariate Statistics with SAS
Software, Second Edition, which provides a unique approach to the topic,
integrating statistical methods, data analysis, and applications. Now
extensively revised, the book includes new information about 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 will aid professors, researchers, and students in a
variety of disciplines and industries. Extensive SAS code and the corresponding
high-resolution output accompany sample problems, and clear explanations of 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. |