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This text presents multivariate (MV) statistical methods using real-life problems and data sets. The emphasis is on correct interpretation of output to draw meaningful conclusions. Extensive SAS codes and corresponding output are presented in combination with sample problems and clear explanations of appropriate SAS procedures. The book covers a variety of topics including MV analysis of experimental data and repeated measures data, graphical representation of data including biplots and introduction to MV regression. It can be used with a number of specific computing environments including CMS, Mac, MVS, Open VMS, OS/2, UNIX, VSE and Windows l.
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This text presents multivariate (MV) statistical methods using real-life problems and data sets. The emphasis is on correct interpretation of output to draw meaningful conclusions. Extensive SAS codes and corresponding output are presented in combination with sample problems and clear explanations of appropriate SAS procedures. The book covers a variety of topics including MV analysis of experimental data and repeated measures data, graphical representation of data including biplots and introduction to MV regression. It can be used with a number of specific computing environments including CMS, Mac, MVS, Open VMS, OS/2, UNIX, VSE and Windows l.