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

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  • Sheng-Li Zhao
  • Qian-Qian Zhao

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)

Suggested Citation

  • Sheng-Li Zhao & Qian-Qian Zhao, 2018. "Some results on constructing two-level block designs with general minimum lower order confounding," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(9), pages 2227-2237, May.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:9:p:2227-2237
    DOI: 10.1080/03610926.2017.1337148
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