Analysis and efficient 2 k - 1 designs for experiments in blocks of size two

P. C. Wang*, R. Dennis Cook

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations


Two-level factorial designs in blocks of size two are useful in a variety of experimental settings, including microarray experiments. Replication is typically used to allow estimation of the relevant effects, but when the number of factors is large this common practice can result in designs with a prohibitively large number of runs. One alternative is to use a design with fewer runs that allows estimation of both main effects and two-factor interactions. Such designs are available in full factorial experiments, though they may still require a great many runs. In this article, we develop fractional factorial design in blocks of size two when the number of factors is less than nine, using just half of the runs needed for the designs given by Kerr (J Qual. Tech. 2006; 38:309-318). Two approaches, the orthogonal array approach and the generator approach, are utilized to construct our designs. Analysis of the resulting experimental data from the suggested design is also given.

Original languageEnglish
Pages (from-to)105-113
Number of pages9
JournalQuality and Reliability Engineering International
Issue number1
StatePublished - 02 2012


  • fractional factorial
  • generators
  • normal probability plot
  • orthogonal array


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