Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference

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R.E. Krieger Publishing Company, 1982 - Mathematics - 600 pages
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Matrix theory useful in multivariate analysis; Continuous multivariate distributions. The normal distribution, Bayesian inference; Multivariate large sample distributions and approximations; The wishart and related distributions; Other continuous multivariate distributions; Basic multivariate statitics in the normal distribution; Regression and the analysis of variance; Principal components; Factor analysis and latent structure analysis; Canonical correlation; Stable portfolio analysis; Classification and discrimination models; Control in the multivariate linear model; Structuring multivariate populations (multidimensional scaling and clustering.

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Contents

APPENDIX
7
Matrix Theory Useful in Multivariate Analysis
11
Continuous Multivariate Distributions
55
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