Abstract
Supersaturated Designs (SSDs) are fractional factorial designs in which the run size is not enough to estimate the main effects of all the factors in the experiment. Two-level SSDs have been studied extensively in the literature. The thrust of research has been on obtaining lower bounds to the value of E(s 2), a measure of departure from orthogonality, and constructing designs that attain these lower bounds. The focus of this paper is to review the literature on two-level SSDs.
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Kole, B., Gangwani, J., Gupta, V.K. et al. Two-level Supersaturated Designs: A Review. J Stat Theory Pract 4, 589–608 (2010). https://doi.org/10.1080/15598608.2010.10412006
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DOI: https://doi.org/10.1080/15598608.2010.10412006