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题名New non-isomorphic detection methods for orthogonal designs
作者
发表日期2020
发表期刊Communications in Statistics: Simulation and Computation
ISSN/eISSN0361-0918
摘要

Two fractional factorial designs are called isomorphic if one can be obtained from the other by relabeling the factors, reordering the runs and switching the levels of factors. Given a set of all orthogonal designs (ODs) with n runs, q levels and s factors, it may have several non-isomorphic subclasses. Once a new OD with this design size is generated, it is interesting to know which subclass it belongs to. In this paper, we review several existing methods, which can classify newly generated ODs to the correct non-isomorphic subclass. We also propose two new non-isomorphic detection methods. They can be utilized for the design classification purpose and take some advantages over the existing methods in terms of computation efficiency and classification capability.

关键词Hamming distance Isomorphism Level permutation Orthogonal design Uniformity
DOI10.1080/03610918.2020.1844895
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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:000596309200001
Scopus入藏号2-s2.0-85097018315
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/1113
专题理工科技学院
通讯作者Ke, Xiao
作者单位
1.College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China
2.Department of Mathematics, Hong Kong Baptist University, Kowloon Tsai, China
3.Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China
4.The Key Lab of Random Complex Structures and Data Analysis, The Chinese Academy of Sciences, Beijing, China
5.Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt
推荐引用方式
GB/T 7714
Ke, Xiao,Fang, Kaitai,Elsawah, A. M.et al. New non-isomorphic detection methods for orthogonal designs[J]. Communications in Statistics: Simulation and Computation, 2020.
APA Ke, Xiao, Fang, Kaitai, Elsawah, A. M., & Lin, Yuxuan. (2020). New non-isomorphic detection methods for orthogonal designs. Communications in Statistics: Simulation and Computation.
MLA Ke, Xiao,et al."New non-isomorphic detection methods for orthogonal designs". Communications in Statistics: Simulation and Computation (2020).
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