Applied multivariate statistical analysis / Richard A. Johnson, Dean W. Wichern.
Material type: TextLanguage: English Publication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2007. Edition: 6th edDescription: xviii, 773 p. : ill. ; 25 cmISBN: 0131877151; 9780131877153Subject(s): Multivariate analysisDDC classification: 519.535 LOC classification: QA278.J63 2007Online resources: WorldCat details | E-book FulltextItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
E-Book | Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | Not For Loan | ||||
Text | Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-1 | Not For Loan | 25690 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-2 | Not For Loan | 25691 | ||
Text | Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-3 | Not For Loan | 25833 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-4 | Available | 25834 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-5 | Available | 25835 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-6 | Available | 25836 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.535 JOA 2007 (Browse shelf(Opens below)) | C-7 | Checked out | 28/08/2019 | 25837 |
Includes bibliographical references and indexes.
TOC 1. Aspects of multivariate analysis --
2. Matrix algebra and random vectors --
3. Sample geometry and random sampling --
4. The multivariate normal distribution --
5. Inferences about a mean vector --
6. Comparisons of several multivariate means --
7. Multivariate linear regression models --
8. Principal components --
9. Factor analysis and inference for structured covariance matrices --
10. Canonical correlation analysis --
11. Discrimination and classification --
12. Clustering, distance methods, and ordination.
AS
Tahur Ahmed
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