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Designs containing partially clear main effects

Author

Listed:
  • Chen, Xue-Ping
  • Lin, Jin-Guan
  • Wang, Hong-Xia
  • Huang, Xing-Fang

Abstract

If certain knowledge is available, then additional factors can be studied through designs containing partially clear main effects. Three types are found less useful, and only the fourth type can overcome the drawback. The existence and constructions are studied.

Suggested Citation

  • Chen, Xue-Ping & Lin, Jin-Guan & Wang, Hong-Xia & Huang, Xing-Fang, 2017. "Designs containing partially clear main effects," Statistics & Probability Letters, Elsevier, vol. 121(C), pages 12-17.
    • Handle: RePEc:eee:stapro:v:121:y:2017:i:c:p:12-17
    DOI: 10.1016/j.spl.2016.09.012
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    References listed on IDEAS

    as
    1. C. Devon Lin, 2012. "Designs of variable resolution," Biometrika, Biometrika Trust, vol. 99(3), pages 748-754.
    2. Ryan Lekivetz & Boxin Tang, 2011. "Robust designs through partially clear two-factor interactions," Biometrika, Biometrika Trust, vol. 98(3), pages 733-739.
    3. Boxin Tang, 2006. "Orthogonal arrays robust to nonnegligible two-factor interactions," Biometrika, Biometrika Trust, vol. 93(1), pages 137-146, March.
    4. Ashish Das & Aloke Dey & Paramita Saha, 2005. "Small asymmetric fractional factorial plans for main effects and specified two-factor interactions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 62(1), pages 33-52, September.
    5. 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.
    Full references (including those not matched with items on IDEAS)

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