Applied Multivariate Analysis

Using Bayesian and Frequentist Methods of Inference, Second Edition
Product Number: EB00794666
Released: Dec 04, 2019
Business Term: Purchase
ISBN: #9780486139388
Publisher: Dover Publications
Please log in to view pricing


Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; 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, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.

Author(s): S. James Press
Genre: Science
Original Publish Date: Aug 08, 2012

Sign up for our email newsletter