Multivariate Data Reduction and Discrimination with SAS Software
Seiten
1999
|
2 Rev ed
John Wiley & Sons Inc (Verlag)
978-0-471-32300-6 (ISBN)
John Wiley & Sons Inc (Verlag)
978-0-471-32300-6 (ISBN)
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.
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.
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.
Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Multivariate Data Reduction and Discrimination with SAS Software, published by Wiley.
Basic Concepts for Multivariate Statistics; Principal Component Analysis; Canonical Correlation Analysis; Factor Analysis; Discriminant Analysis; Cluster Analysis; Correspondence Analysis; Appendix; References; Index.
| Zusatzinfo | illustrations |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 216 x 280 mm |
| Gewicht | 1333 g |
| Themenwelt | Informatik ► Office Programme ► Outlook |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| ISBN-10 | 0-471-32300-4 / 0471323004 |
| ISBN-13 | 978-0-471-32300-6 / 9780471323006 |
| Zustand | Neuware |
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