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

By:

Johnson, Richard A. (Richard Arnold), 1937-

Contributor(s):

Wichern, Dean W

Material type: Text

TextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2007.Edition: 6th edDescription: xviii, 773 p. : ill. ; 25 cmISBN:

0131877151
9789332549555

Subject(s):

Multivariate analysis

DDC classification:

519.535 JOH 22 1

LOC classification:

QA278 .J63 2007

Contents:

1. Aspects of multivariate analysis 2. Sample geometry and random sampling 3. Matrix algebra and random vectors 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 Appendix

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	1	Available	0081118
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	2	Available	0081119
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	3	Available	0081120
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	4	Available	0081121
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	5	Available	0081115
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	6	Available	0081127
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	7	Available	0081116
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	8	Available	0081122
Book	Mzumbe University Main Campus Library	519.535 JOH (Browse shelf(Opens below))	9	Available	0081123

Total holds: 0

Includes bibliographical references and indexes.

1. Aspects of multivariate analysis
2. Sample geometry and random sampling
3. Matrix algebra and random vectors
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
Appendix

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