Design selection for strong orthogonal arrays

Chenlu Shi, Boxin Tang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space-filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 +)s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2+ by examining their three-dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2+ do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two-dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2+ do not exist and it gives rise to them when they do.

Original languageEnglish (US)
Pages (from-to)302-314
Number of pages13
JournalCanadian Journal of Statistics
Volume47
Issue number2
DOIs
StatePublished - Jun 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Complementary design
  • computer experiment
  • Latin hypercube
  • second order saturated design
  • space-filling design

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