A new sequential experimental design procedure for discriminating among rival models

Abstract A new procedure to be used in the sequential design of experiments for discriminating among rival models is presented. The procedure consists of a new design criterion and a model adequacy test based on statistical principles. The method is illustrated with examples and compared to previous methods.