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  • 标题:Ga-Optimal Partially Balanced Fractional 2 m 1+ m 2 Factorial Designs of Resolutions R({00,10,01,20,02} | Ω) and R({00,10,01,20,11} | Ω) with 2 ≤ m 1, m 2 ≤ 4
  • 本地全文:下载
  • 作者:Masahide Kuwada ; Shujie Lu ; Yoshifumi Hyodo
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2006
  • 卷号:36
  • 期号:2
  • 页码:237-259
  • DOI:10.14490/jjss.36.237
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:

    Under the assumption that the three-factor and higher-order interactions are negligible, we consider two kinds of partially balanced fractional 2 m 1+ m 2 factorial designs derived from simple partially balanced arrays, where 2 ≤ m k for k = 1, 2. One is a design such that the general mean, the m 1 + m 2 main effects, the ( m 12) two-factor interactions, the ( m 22) two-factor ones and some linear combinations of the m 1 m 2 two-factor ones are estimable, and the other is a design such that the general mean, the m 1 + m 2 main effects, the ( m 12) two-factor interactions, the m 1 m 2 two-factor ones and some linear combinations of the ( m 22) two-factor ones are estimable. In each kind of designs, we present optimal designs with respect to the generalized A-optimality criterion when the number of assemblies is less than the number of non-negligible factorial effects, where ≤ m 1, m 2 ≤ 4.

  • 关键词:association algebra; estimable parametric functions; GA-optimality criterion; PBFF designs; resolutions
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