Optimal design : Experiments for discriminating between several models

Abstract

Experimental designs are described for discriminating between three or more rival regression models, which need not be linear in the parameters. Properties of the designs are summarized in a generalized equivalence theorem. Numerical examples are given of sequential design procedures.