Article ID Journal Published Year Pages File Type
1147489 Journal of Statistical Planning and Inference 2013 9 Pages PDF
Abstract
Zhang et al. (2008) proposed a general minimum lower order confounding (GMC for short) criterion, which aims to select optimal factorial designs in a more elaborate and explicit manner. By extending the GMC criterion to the case of blocked designs, Wei et al. (submitted for publication) proposed a B1-GMC criterion. The present paper gives a construction theory and obtains the B1-GMC 2n−m:2r designs with n≥5N/16+1, where 2n−m:2r denotes a two-level regular blocked design with N=2n−m runs, n treatment factors, and 2r blocks. The construction result is simple. Up to isomorphism, the B1-GMC 2n−m:2r designs can be constructed as follows: the n treatment factors and the 2r−1 block effects are, respectively, assigned to the last n columns and specific 2r−1 columns of the saturated 2(N−1)−(N−1−n+m) design with Yates order. With such a simple structure, the B1-GMC designs can be conveniently used in practice. Examples are included to illustrate the theory.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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