发表状态 | 已发表Published |
题名 | New recommended designs for screening either qualitative or quantitative factors |
作者 | |
发表日期 | 2021-02-01 |
发表期刊 | Statistical Papers
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ISSN/eISSN | 0932-5026 |
卷号 | 62期号:1页码:267-307 |
摘要 | 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. |
关键词 | Design isomorphism Generalized word-length pattern Hamming distance pattern Level permutation Orthogonal designs Projection Uniformity criteria |
DOI | 10.1007/s00362-019-01089-9 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Mathematics |
WOS类目 | Statistics & Probability |
WOS记录号 | WOS:000621543200013 |
Scopus入藏号 | 2-s2.0-85061340958 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/951 |
专题 | 理工科技学院 |
通讯作者 | Fang, Kaitai |
作者单位 | 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 |
第一作者单位 | 北师香港浸会大学 |
通讯作者单位 | 北师香港浸会大学 |
推荐引用方式 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. |
条目包含的文件 | 条目无相关文件。 |
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