Selection of variables in mixed-variable discriminant analysis
Résumé
A MANOVA-log-linear formulation of the location model for mix ed-variable discriminant analysis is considered. A strategy for the selection of variables and terms in such a model is based on Akaike's criterion. To overcome problems caused by noncomparable submodels, some modifications to Akaike's criterion are proposed. An example of discrimination between bad and good melons illustrates the selection procedure.