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Minimally changed run sequences in factorial experiments

Author

Listed:
  • Arpan Bhowmik
  • Eldho Varghese
  • Seema Jaggi
  • Cini Varghese

Abstract

Randomization of run sequences in factorial experiments may result in large number of changes in factor levels which will make the experimentation expensive, time-consuming and difficult. Experiments in which it is difficult to change the levels of factor(s) use of minimally changed run sequences may often be preferable to a random run sequence. In the present paper, we have developed method for obtaining minimally changed run sequences for factorial experiments. The general expression of factor-wise number of level changes for the developed minimally changed run sequences has also been obtained. A relationship has been established between the time count effect of a lower order factorial with minimally changed run sequences and that of a higher order factorial with minimally changed run sequences obtained through the lower order minimally changed run sequences. For providing a readymade solution to the end users, a SAS macro has also been developed for generating these minimally changed run sequences along with its parameters.

Suggested Citation

  • Arpan Bhowmik & Eldho Varghese & Seema Jaggi & Cini Varghese, 2017. "Minimally changed run sequences in factorial experiments," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(15), pages 7444-7459, August.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:15:p:7444-7459
    DOI: 10.1080/03610926.2016.1152490
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