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Comparison among run order algorithms for sequential factorial experiments

Listed author(s):
  • Hilow, Hisham
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    Four algorithms for sequencing runs of the 2n factorial experiment are compared according to the two criteria: the number of factor level changes (i.e. cost) and the time trend resistance. These algorithms are: Correa et al. (2009), Cui and John (1998), Cheng and Jacroux (1988) and Coster and Cheng (1988), referred to here as Algorithms I, II, III (a and b) and IV, respectively. The comparison includes also the identification of whether a run order of one algorithm can equivalently be generated by another algorithm.

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    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 58 (2013)
    Issue (Month): C ()
    Pages: 397-406

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    Handle: RePEc:eee:csdana:v:58:y:2013:i:c:p:397-406
    DOI: 10.1016/j.csda.2012.09.013
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    1. Alexander Correa & Pere Grima & Xavier Tort-Martorell, 2009. "Experimentation order with good properties for 2k factorial designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 743-754.
    2. Guillermo De Leon Adams & Pere Grima Cintas & Xavier Tort-Martorell Llabres, 2005. "Experimentation order in factorial designs with 8 or 16 runs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(3), pages 297-313.
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