A general construction method for mixed-level supersaturated design

Shu Yamada, Michiyo Matsui, Tomomi Matsui, Dennis K.J. Lin, Takenori Takahashi

研究成果: Article査読

17 被引用数 (Scopus)

抄録

When the number of the experimental variables is large, the first and most critical step is to identify the (few) active factors among those (many) candidate factors. Supersaturated design is shown to be helpful for such a critical first step. A general construction method for mixed-level supersaturated design is proposed. The newly constructed design has several advantages, including the flexibility for the number of runs and the assurance of upper bound of the (pairwise) dependency among all design columns. Specific applications to the construction of two-level and three-level mixed-level designs are discussed in detail.

本文言語English
ページ(範囲)254-265
ページ数12
ジャーナルComputational Statistics and Data Analysis
50
1 SPEC. ISS.
DOI
出版ステータスPublished - 2006 1月 10
外部発表はい

ASJC Scopus subject areas

  • 統計学および確率
  • 計算数学
  • 計算理論と計算数学
  • 応用数学

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