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Minimal average degree aberration and the state polytope for experimental designs

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  • Yael Berstein
  • Hugo Maruri-Aguilar
  • Shmuel Onn
  • Eva Riccomagno
  • Henry Wynn

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Suggested Citation

  • Yael Berstein & Hugo Maruri-Aguilar & Shmuel Onn & Eva Riccomagno & Henry Wynn, 2010. "Minimal average degree aberration and the state polytope for experimental designs," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(4), pages 673-698, August.
    • Handle: RePEc:spr:aistmt:v:62:y:2010:i:4:p:673-698
    DOI: 10.1007/s10463-010-0291-8
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    References listed on IDEAS

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    1. Evangelaras, H. & Koukouvinos, C., 2006. "A comparison between the Grobner bases approach and hidden projection properties in factorial designs," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 77-88, January.
    2. N. Balakrishnan & Po Yang, 2006. "Connections Between the Resolutions of General Two-level Factorial Designs," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 58(3), pages 609-618, September.
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    Cited by:

    1. Freeman, G. & Smith, J.Q., 2011. "Bayesian MAP model selection of chain event graphs," Journal of Multivariate Analysis, Elsevier, vol. 102(7), pages 1152-1165, August.
    2. Hugo Maruri-Aguilar & Eduardo Sáenz-de-Cabezón & Henry Wynn, 2013. "Alexander duality in experimental designs," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(4), pages 667-686, August.

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