A novel method for constructing mixed two- and three-level uniform factorials with large run sizes

Hongyi Li, Xingyou Huang, Huili Xue and Hong Qin ()
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Hongyi Li: Jishou University
Xingyou Huang: Jishou University
Huili Xue: Jishou University
Hong Qin: Zhongnan University of Economics and Law

Statistical Papers, 2021, vol. 62, issue 6, No 16, 2907-2921

Abstract: Abstract The methods of doubling and tripling have been used to construct two-level and three-level symmetrical fractional factorial designs with optimal properties. In this paper, the construction of symmetrical designs is generalized to an asymmetrical case, a novel construction method by amplifying is presented for constructing mixed two- and three-level uniform designs with large run sizes. The analytic relationship between the squared wrap-around $$L_2$$ L 2 - discrepancy value of the amplified design constructed by amplifying and the wordlength pattern of the initial design is built. Furthermore, the relationships of uniformity and aberration between the amplified design and the corresponding initial design are respectively considered. These results provide a theoretical basis for constructing mixed two- and three-level uniform designs with large run sizes. Finally, some numerical results are provided to support our theoretical results.

Keywords: Amplified design; Distance distribution; GMA; Uniformity; Lower bound; Discrepancy; 62K15; 62K10; 62K99 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s00362-020-01219-8

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