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Applied multivariate statistical analysis / Richard A. Johnson, Dean W. Wichern.

By: Johnson, Richard A. (Richard Arnold), 1937-Contributor(s): Wichern, Dean WMaterial type: TextTextLanguage: 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 Fulltext
Contents:
TOC
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book
Non-fiction 519.535 JOA 2007 (Browse shelf(Opens below)) Not For Loan
Text 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 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 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 Text Dr. S. R. Lasker Library, EWU
Circulation Section
Non-fiction 519.535 JOA 2007 (Browse shelf(Opens below)) C-4 Available 25834
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section
Non-fiction 519.535 JOA 2007 (Browse shelf(Opens below)) C-5 Available 25835
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section
Non-fiction 519.535 JOA 2007 (Browse shelf(Opens below)) C-6 Available 25836
Text 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
Total holds: 0

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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