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Research resources are too scarce to be squandered going down blind alleys and coming up empty handed at project end. We can no longer afford to play hunches or to rely on so called experts, whose opinions all differ, to guide research. Nor can we rely on the gross inefficiencies of old-fashioned one-factor-at-a-time experimentation to guide decisions. Instead, R&D must proceed systematically and with a goal of using unbiased data to guide decisions, following an overall strategy guided by statistical thinking and the scientific method.
We will also discuss Details of screening designs for determining the most influential among many, many factors, characterizing designs for the identification of interactions and optimizing designs are discussed, with examples given. We also touch on mixture designs for formulations and other commonly employed designs.