Abstract
This paper aims to generalize and unify classical criteria for comparisons of balanced lattice designs, including fractional factorial designs, supersaturated designs and uniform designs. We present a general majorization framework for assessing designs, which includes a stringent criterion of majorization via pairwise coincidences and flexible surrogates via convex functions. Classical orthogonality, aberration and uniformity criteria are unified by choosing combinatorial and exponential kernels. A construction method is also sketched out. © Institute of Mathematical Statistics, 2005.
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Zhang, A., Fang, K. T., Li, R., & Sudjianto, A. (2005). Majorization framework for balanced lattice designs. Annals of Statistics, 33(6), 2837–2853. https://doi.org/10.1214/009053605000000679
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