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Status已发表Published
TitleNew recommended designs for screening either qualitative or quantitative factors
Creator
Date Issued2021-02-01
Source PublicationStatistical Papers
ISSN0932-5026
Volume62Issue:1Pages:267-307
Abstract

By the affine resolvable design theory, there are 68 non-isomorphic classes of symmetric orthogonal designs involving 13 factors with 3 levels and 27 runs. This paper gives a comprehensive study of all these 68 non-isomorphic classes from the viewpoint of the uniformity criteria, generalized word-length pattern and Hamming distance pattern, which provides some interesting projection and level permutation behaviors of these classes. Selecting best projected level permuted subdesigns with 3 ≤ k≤ 13 factors from all these 68 non-isomorphic classes is discussed via these three criteria with catalogues of best values. New recommended uniform minimum aberration and minimum Hamming distance designs are given for investigating either qualitative or quantitative 4 ≤ k≤ 13 factors, which perform better than the existing recommended designs in literature and the existing uniform designs. A new efficient technique for detecting non-isomorphic designs is given via these three criteria. By using this new approach, in all projections into 1 ≤ k≤ 13 factors we classify each class from these 68 classes to non-isomorphic subclasses and give the number of isomorphic designs in each subclass. Close relationships among these three criteria and lower bounds of the average uniformity criteria are given as benchmarks for selecting best designs.

KeywordDesign isomorphism Generalized word-length pattern Hamming distance pattern Level permutation Orthogonal designs Projection Uniformity criteria
DOI10.1007/s00362-019-01089-9
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000621543200013
Scopus ID2-s2.0-85061340958
Citation statistics
Cited Times:19[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/951
CollectionFaculty of Science and Technology
Corresponding AuthorFang, Kaitai
Affiliation
1.Department of Mathematics,Faculty of Science,Zagazig University,Zagazig,44519,Egypt
2.Division of Science and Technology,BNU-HKBU United International College,Zhuhai,519085,China
3.The Key Lab of Random Complex Structures and Data Analysis,The Chinese Academy of Sciences,Beijing,China
4.Department of Mathematics,Southern University of Science and Technology,Shenzhen,518055,China
5.Department of Mathematics,Hong Kong Baptist University,Kowloon Tong,Hong Kong
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Elsawah, A. M.,Fang, Kaitai,Ke, Xiao. New recommended designs for screening either qualitative or quantitative factors[J]. Statistical Papers, 2021, 62(1): 267-307.
APA Elsawah, A. M., Fang, Kaitai, & Ke, Xiao. (2021). New recommended designs for screening either qualitative or quantitative factors. Statistical Papers, 62(1), 267-307.
MLA Elsawah, A. M.,et al."New recommended designs for screening either qualitative or quantitative factors". Statistical Papers 62.1(2021): 267-307.
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