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An efficient method for identifying clear effects in blocked fractional factorial designs

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  • Ai, Mingyao
  • He, Shuyuan

Abstract

This paper presents a unified numerical method based on the double coincidence distribution for identifying clear or strongly clear main effects or two-factor interactions in a blocked regular fractional factorial design. An example illustrates that it is much more efficient to carry out this method by computer programming than when using the original definitions of clear or strongly clear effects.

Suggested Citation

  • Ai, Mingyao & He, Shuyuan, 2006. "An efficient method for identifying clear effects in blocked fractional factorial designs," Statistics & Probability Letters, Elsevier, vol. 76(17), pages 1889-1894, November.
    • Handle: RePEc:eee:stapro:v:76:y:2006:i:17:p:1889-1894
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    References listed on IDEAS

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    1. Hongquan Xu, 2005. "A catalogue of three-level regular fractional factorial designs," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 62(2), pages 259-281, November.
    2. Ai, Mingyao & Zhang, Runchu, 2004. "sn-m Designs containing clear main effects or clear two-factor interactions," Statistics & Probability Letters, Elsevier, vol. 69(2), pages 151-160, August.
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    Cited by:

    1. Jin-Guan Lin & Xue-Ping Chen & Jian-Feng Yang & Xing-Fang Huang & Ying-Shan Zhang, 2015. "Generalized variable resolution designs," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 78(7), pages 873-884, October.

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