Applied Multivariate Analysis
Using Bayesian and Frequentist Methods of Inference
2nd Edition
Published on 28. June 2005
Book
Paperback/Softback
692 pages
978-0-486-44236-5 (ISBN)
Description
Includes practical elements of matrix theory, continuous multivariate distributions and basic multivariate statistics in the normal distribution; regression and the analysis of variance; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations. 1982 edition.
More details
Series
Edition
2nd edition
Language
English
Place of publication
New York
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Illustrations
Dimensions
Height: 215 mm
Width: 136 mm
Thickness: 37 mm
Weight
689 gr
ISBN-13
978-0-486-44236-5 (9780486442365)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Preface
Notation
I. Introduction
1. Foundations
2. Matrix Theory Useful in Multivariate Analysis
3. Continuous Multivariate Distributions, The Normal Distribution, Bayesian Inference
4. Multivariate Large Sample Distributions and Approximations
5. The Wishart and Related Distributions
6. Other Continuous Multivariate Distributions
7. Basic Multivariate Statistics in the Normal Distribution
II. Models
8. Regression and the Analysis of Variance
9. Principal Components
10. Factor Analysis and Latent Structure Analysis
11. Canonical Correlations
12. Stable Portfolio Analysis
13. Classifications and Discrimination Models
14. Control in the Multivariate Linear Model
15. Structuring Multivariate Populations (Multidimensional Scaling and Clustering)
Appendixes
Index