Design for computer experiments with qualitative and quantitative factors

Xinwei Deng, Ying Hung, C. Devon Lin

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

We introduce a new class of designs, marginally coupled designs, for computer experiments with both qualitative and quantitative variables. These designs maintain an economic run size with attractive space-filling properties. The design points for quantitative factors form a Latin hypercube design. In addition, for each level of any qualitative factor of a marginally coupled design, the corresponding design points for quantitative factors form a small Latin hypercube design. Existence of the proposed designs is studied. Constructions are provided for various types of designs with qualitative factors.

Original languageEnglish (US)
Pages (from-to)1567-1581
Number of pages15
JournalStatistica Sinica
Volume25
Issue number4
DOIs
StatePublished - Oct 2015

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All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Difference scheme
  • Fold-over design
  • Latin square
  • Mixed level
  • Orthogonal array
  • Resolvable orthogonal array

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