The Structural Analysis Of Multivariate Data: A Sketch Of A General Theory.

It is shown that two major principles and two minor principles serve to generate a large number of multivariate models. A general treatment based on asymptotic properties of the likelihood ratio yields solutions to problems of local identifiability, estimation, and hypothesis-testing.