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- W2079841570 abstract "A supersaturated design is essentially a fractional factorial design whose number of experimental variables is greater than or equal to its number of experimental runs. Under the effect sparsity assumption, a supersaturated design can be very cost-effective. In this paper, our prime objective is to compare the existing two-level supersaturated designs for the noisy case through the probability of correct searching—a powerful criterion proposed by Shirakura et al. [1996. Searching probabilities for nonzeroeffects in search designs for the noisy case. Ann. Statist. 24, 2560–2568]. An algorithm is proposed to construct supersaturated designs with high probability of correct searching. Examples are given for illustration." @default.
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- W2079841570 date "2008-01-01" @default.
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- W2079841570 title "Supersaturated designs with high searching probability" @default.
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- W2079841570 doi "https://doi.org/10.1016/j.jspi.2007.05.006" @default.
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