Multivariate Observations
George A. Seber - Collection Wiley Series in Probability and Statistics
Résumé
This up-to-date, comprehensive sourcebook treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. Includes many numerical examples, and over 1,100 references.
L'auteur - George A. Seber
George A.F. Seber is professor in the Department of
Statistics at The University of Auckland in New
Zealand.
Sommaire
- Preliminaries
- Multivariate Distributions
- Inference for the Multivariate Normal
- Graphical and Data-Oriented Techniques
- Dimension Reduction and Ordination
- Discriminant Analysis
- Cluster Analysis
- Multivariate Linear Models
- Multivariate Analysis of Variance and Covariance
- Special Topics
- Appendix A: Some Matrix Algebra
- Appendix B: Orthogonal Projections
- Appendix C: Order Statistics and Probability Plotting
- Appendix D: Statistical Tables
- Outline Solutions to Exercises
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Wiley |
| Auteur(s) | George A. Seber |
| Collection | Wiley Series in Probability and Statistics |
| Parution | 17/11/2004 |
| Nb. de pages | 686 |
| Format | 15 x 23 |
| Couverture | Broché |
| Poids | 850g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780471691211 |
| ISBN13 | 978-0-471-69121-1 |
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