Optimality of mixed-level supersaturated designs

Shu Yamada, Tomomi Matsui

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

This paper presents generalized theorems on the optimality of supersaturated designs in terms of low dependency over all pairs of column vectors. Some mixed-level supersaturated designs are constructed using a method based on these theorems. An index is proposed for measuring the efficiency of supersaturated design and applied to evaluate the constructed mixed-level supersaturated designs.

Original languageEnglish
Pages (from-to)459-468
Number of pages10
JournalJournal of Statistical Planning and Inference
Volume104
Issue number2
DOIs
Publication statusPublished - 2002 Jun 1
Externally publishedYes

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Supersaturated Design
Optimality
Column vector
Theorem
Evaluate

Keywords

  • Dependency between two columns
  • Lower bound of dependency
  • Saturated and orthogonal design
  • X statistic

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Statistics and Probability

Cite this

Optimality of mixed-level supersaturated designs. / Yamada, Shu; Matsui, Tomomi.

In: Journal of Statistical Planning and Inference, Vol. 104, No. 2, 01.06.2002, p. 459-468.

Research output: Contribution to journalArticle

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