• Title of article

    Some results on two-level regular designs with general minimum lower-order confounding

  • Author/Authors

    Hu، نويسنده , , Jianwei and Zhang، نويسنده , , Runchu، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    9
  • From page
    1774
  • To page
    1782
  • Abstract
    Zhang et al. (2008) introduced an aliased effect-number pattern (AENP) for two-level regular designs and proposed a general minimum lower-order confounding (GMC) criterion for choosing optimal designs. By using a finite projective geometric formulation, Zhang and Mukerjee (2009a) characterized GMC designs via complementary designs for general s-level case, and to find GMC designs, for some special cases they proved a result that a design T can have GMC only if T ¯ is contained in a specific flat. In this paper, we first generalize the result to general cases for s=2. Then, we prove that, for any given n and m, a GMC design minimizes A3, the first term of the wordlengh pattern of regular 2n−m designs. Furthermore, we find out the unique optimal confounding structure between main effects and two-factor interactions, and prove that minimizing A3 is a sufficient and necessary condition for a regular design to have the structure.
  • Keywords
    Aliased effect-number pattern , Finite Projective geometry , Complementary design , Factorial design , Minimum aberration , Wordlengh pattern
  • Journal title
    Journal of Statistical Planning and Inference
  • Serial Year
    2011
  • Journal title
    Journal of Statistical Planning and Inference
  • Record number

    2221323