Statistical Factor Analysis and Related Methods – heory and Applications

About the author ALEXANDER BASILEVSKY is Professor of Mathematics and Statistics at the University of Winnipeg. He frequently serves as a professional consultant to both government and industry. In addition to numerous scholarly papers and government reports, Professor Basilevsky is the author of Applied Matrix Algebra in Statistical Sciences and coauthor of An Analysis of the U.S. Income Maintenance Experiments. He is a member of the Canadian Statistical Association, the American Statistical Association, and the Statistical Association of Manitoba, of which he is former president-at-large. Professor Basilevsky received his PhD in statistics/econometrics from the University of Southampton, England.

Preliminaries. Matrixes, Vector Spaces. The Ordinary Principal Components Model. Statistical Testing of the Ordinary Principal Components Model. Extensions of the Ordinary Principal Components Model. Factor Analysis. Factor Analysis of Correlated Observations. Ordinal and Nominal Random Data. Other Models for Discrete Data. Factor Analysis and Least Squares Regression. Exercises. References. Index.