A note on the construction of blocked two-level designs with general minimum lower order confounding

Shengli Zhao, Dennis K.J. Lin, Pengfei Li

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Blocked designs are useful in experiments. The general minimum lower order confounding (GMC) is an elaborate criterion which was proposed for selecting optimal fractional factorial designs. Zhang and Mukerjee (2009b) extended the GMC criterion to the B-GMC criterion for selecting a 2n-m:2r design, where 2n-m:2r denotes a two-level regular blocked design with N=2n-m runs, n treatment factors and 2r blocks. This paper gives the first construction method of B-GMC 2n-m:2r designs with 5N/16+1≤n≤N/2. The results indicate that under isomorphism, with suitable choice of the blocking factors, each B-GMC blocked design has a common specific structure. Examples are included to illustrate the developed theory.

Original languageEnglish (US)
Pages (from-to)16-22
Number of pages7
JournalJournal of Statistical Planning and Inference
Volume172
DOIs
StatePublished - May 1 2016

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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