Abstract:In this study, we considered the problem of design for model discrimination in factorial experiments, while there is potential to miss runs. Under such a situation, we questioned the reliability of the superior selected design based on the existing design criteria for model discrimination. In other words, any selected design may miss its efficiency in discriminating between models in the presence of failing runs. To this end, we assumed the missing probability of the runs based on some available information pa… Show more
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