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Abstract:
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Screening experiments, Plackett-Burman designs or resolution III fractional factorials, are used in the early stages of experimentation where the goal is to identify the important factors. When experiments are constrained, either temporally or economically, a typical screening design might require too many resources. As an alternative to a typical screening design a Supersaturated design, where n < k+1, might be an attractive alternative. Clearly, Supersaturated designs have too few runs to allow for the estimation of all main effects and thus require the experimenter to rely heavily on the assumption of effect sparsity. The analysis strategy of a supersaturated design is an important consideration and has been a popular topic in recent literature. This talk will review several of the author's findings as well as the conclusions of others and attempt to provide recommendations on the analysis of Supersaturated designs.
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