Methods of multivariate analysis / Alvin C. Rencer and William F. Christensen
Material type:
- 9780470178966
- QA 278 .R46 2012

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed - CEAS | GC QA 278 .R46 2012 (Browse shelf(Opens below)) | c.1 | Available | NULIB000014116 |
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GC QA 276 .I58 2013 c.2 An introduction to statistical learning with applications in R / | GC QA 278 .H349 2014 The Essence of multivariate thinking: Basic themes and methods / | GC QA 278 .I94 2013 Modern multivariate statistical techniques : regression, classification, and manifold learning / | GC QA 278 .R46 2012 Methods of multivariate analysis / | GC QA 43 .N49 2006 Strategies for test-taking success : math / | GC Q 181 .T4 1995 Teaching the majority : breaking the gender barrier in science, mathematics, and engineering / | GC RA 399.A1 .F56 2015 Evaluation fundamentals : insights into program effectiveness, quality, and value / |
Includes bibliographical references and index.
1. Introduction -- 2. Matrix algebra -- 3. Characterizing and displaying multivariate data -- 4. The Multivariate normal distribution -- 6. Multivariate analysis of variance -- 7. Tests on covariance matrices -- 8. Discriminant analysis : description of group separation -- 9. Classification analysis : allocation of observations of groups -- 10. Multivariate regression -- 11. Canonical correlation -- 12. Principal component analysis -- 13. Exploratory factor analysis -- 15. Cluster analysis -- 16. Graphical procedures.
This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content.
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