Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147489 | Journal of Statistical Planning and Inference | 2013 | 9 Pages |
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 2nâm:2r designs with nâ¥5N/16+1, where 2nâm:2r denotes a two-level regular blocked design with N=2nâm runs, n treatment factors, and 2r blocks. The construction result is simple. Up to isomorphism, the B1-GMC 2nâm:2r designs can be constructed as follows: the n treatment factors and the 2râ1 block effects are, respectively, assigned to the last n columns and specific 2râ1 columns of the saturated 2(Nâ1)â(Nâ1ân+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
Authors
Shengli Zhao, Pengfei Li, Runchu Zhang, Rohana Karunamuni,