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文章基本信息

  • 标题:Selection of Non-Regular Fractional Factorial Designs When Some Two-Factor Interactions are Important
  • 本地全文:下载
  • 作者:Ke, Weiming ; Yao, Rui
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2008
  • 卷号:7
  • 期号:1
  • 页码:8
  • 出版社:Wayne State University
  • 摘要:A new method is proposed for selecting the optimal non-regular fractional factorial designs in the situation when some two-factor interactions are potentially important. Searching for the best designs according to this method is discussed and some results for the Plackett-Burman design of 12 runs are presented.
  • 关键词:Alias matrix; fractional factorial design; non-regular design; partial confounding; Plackett-Burman design
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