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题名Optimal mixed-level supersaturated designs and a new class of combinatorial designs
作者
发表日期2007
发表期刊Journal of Statistical Planning and Inference
ISSN/eISSN0378-3758
卷号137期号:7页码:2294-2301
摘要

This paper considers the construction of optimal mixed-level supersaturated designs under the E (χ2)-optimality criterion. According to a lower bound of the E (χ2) value, a combinatorial construction method is proposed and illustrated. Meanwhile, a new class of combinatorial designs is put forward. Furthermore, some methods for constructing these combinatorial designs which correspond to E (χ2)-optimal mixed-level supersaturated designs are provided. All of these results extend the catalogue of E (χ2)-optimal mixed-level supersaturated designs. © 2006 Elsevier B.V. All rights reserved.

关键词Balanced E (χ2)-optimality Mixed-level Supersaturated design Uniformly resolvable Weighted design
DOI10.1016/j.jspi.2006.07.012
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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:000245838900019
Scopus入藏号2-s2.0-33947191410
引用统计
被引频次:14[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/2414
专题个人在本单位外知识产出
作者单位
1.School of Mathematical Sciences, Suzhou University, Suzhou, 215006, China
2.LMAM, School of Mathematical Sciences, Peking University, Beijing, 100871, China
3.Department of Mathematics, Zhejiang University, Hangzhou, 310027 Zhejiang, China
4.Department of Mathematics, Hong Kong Baptist University, Hong Kong, Hong Kong
推荐引用方式
GB/T 7714
Tang, Yu,Ai, Mingyao,Ge, Gennianet al. Optimal mixed-level supersaturated designs and a new class of combinatorial designs[J]. Journal of Statistical Planning and Inference, 2007, 137(7): 2294-2301.
APA Tang, Yu, Ai, Mingyao, Ge, Gennian, & Fang, Kaitai. (2007). Optimal mixed-level supersaturated designs and a new class of combinatorial designs. Journal of Statistical Planning and Inference, 137(7), 2294-2301.
MLA Tang, Yu,et al."Optimal mixed-level supersaturated designs and a new class of combinatorial designs". Journal of Statistical Planning and Inference 137.7(2007): 2294-2301.
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