Estimation of Γ would be a multivariate regression of X onto Z . Estimation of would be easy: take diagonal part of usual MLE of Σ Ψ ˆ in the above regression. Suggests EM algorithm is a nice fit for …

There are several different types of factor analysis, with the most common being principal components analysis (PCA). However, principal axis factoring (PAF), also called common factor analysis, is …

The six chapters of part I provide the historical background and basic notions of factor analysis, introducing the fundamental mathematics necessary for a proper understanding of the subject, and …

Based on a first-principles approach, the FAIR Model decomposes risk into its fundamental components, enabling better analytic focus, data application, and quantitative risk measurement and management. …

he factor loadings, however. The book points out that you could rotate the loadings (or equivalently, ro ate the factors themselves). Plotting the factor loadings on a two-dimensional plot, we can see how …

variable with just one underlying factor. So typically each variable has big loading on (correlation with) one of the factors, and small loadings on the rest. Look at the loadings and decide what the factors …

Most useful is a set of questions and answers to some of the most puzzling problems associated with factor analysis; a glossary is also a unique contribution to this volume. Kim and Mueller have …