Marginally over saturated designs
A special class of supersaturated design, called marginally over saturated design (MOSD), in which the number of variables under investigation (k) is only slightly larger than the number of experimental runs (n), is presented. Several optimality criteria for supersaturated designs are discussed. It is shown that the resolution rank criterion is most appropriate for screening situations. The construction method builds on two major theorems which provide an efficient way to evaluate resolution rank. Examples are given for the cases n=8, 12, 16, and 20. Potential extensions for future work are discussed. Copyright © 1996 by Marcel Dekker, Inc.
Communications in Statistics - Theory and Methods
Deng, L., Lin, D., & Wang, J. (1996). Marginally over saturated designs. Communications in Statistics - Theory and Methods, 25 (11), 2557-2573. https://doi.org/10.1080/03610929608831856