A Bayesian Approach to the Identification of Active Location and Dispersion Factors

Abstract

In this talk, I will propose a method, which is an extension of the modified Box and Meyer method, to identify both active location and dispersion factors in a screening experiment. Since several candidate models can be considered simultaneously under the framework, the proposed method can overcome the problem of missing the identification of some active factors caused by either the alias structure or misspecification of the location model. For illustration, three practical experiments are analyzed. In thewelding experiment, we identify an extra potentially active factor that may produce an important two-factor interaction fully aliased with a main effect, which shows an advantage of using the proposed method.