Optimality of mixed-level supersaturated designs

Shu Yamada, Tomomi Matsui

Research output: Contribution to journalArticlepeer-review

59 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

Keywords

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

ASJC Scopus subject areas

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

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