Optimal compound orthogonal arrays and single arrays for robust parameter design experiments

Yu Zhu, Peng Zeng, Kristofer Jennings

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Compound orthogonal arrays (COAs) and single arrays are alternatives to the inner-outer arrays advocated by Taguchi for robust parameter design experiments. A criterion based on the wordtype pattern and strength of COAs is proposed to select optimal COAs. Single arrays are classified into prodigal single arrays (PSAs) and economical single arrays (ESAs) according to their relative estimation capacities, and various optimality criteria, again based on the wordtype pattern, are proposed for selecting optimal single arrays. Useful optimal COAs, PSAs, and ESAs are constructed and tabulated as convenient references for experimenters in practice.

Original languageEnglish (US)
Pages (from-to)440-453
Number of pages14
JournalTechnometrics
Volume49
Issue number4
DOIs
StatePublished - Nov 2007
Externally publishedYes

Fingerprint

Robust Parameter Design
Orthogonal Array
Experiment
Experiments
Estimation Capacity
Optimality Criteria

Keywords

  • Compound orthogonal array
  • Robust parameter design
  • Single array

ASJC Scopus subject areas

  • Mathematics(all)
  • Statistics and Probability

Cite this

Optimal compound orthogonal arrays and single arrays for robust parameter design experiments. / Zhu, Yu; Zeng, Peng; Jennings, Kristofer.

In: Technometrics, Vol. 49, No. 4, 11.2007, p. 440-453.

Research output: Contribution to journalArticle

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