Some results on constructing two-level block designs with general minimum lower order confounding

Sheng-Li Zhao and Qian-Qian Zhao

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 9, 2227-2237

Abstract: Block designs are widely used in experimental situations where the experimental units are heterogeneous. The blocked general minimum lower order confounding (B-GMC) criterion is suitable for selecting optimal block designs when the experimenters have some prior information on the importance of ordering of the treatment factors. This paper constructs B-GMC 2n − m: 2r designs with 5 × 2l/16 + 1 ⩽ n − (N − 2l)

Date: 2018
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DOI: 10.1080/03610926.2017.1337148

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