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发表状态已发表Published
题名Uniformity in factorial designs with mixed levels
作者
发表日期2005
发表期刊Journal of Statistical Planning and Inference
ISSN/eISSN0378-3758
卷号128期号:2页码:593-607
摘要

The uniformity can be utilized as a measure for comparing factorial designs. Fang and Mukerjee (Biometrika 87 (2000) 193-198) and Fang et al. (in: K.T. Fang, F.J. Hickernell, H. Niederreiter (Eds.), Monte Carlo and Quasi-Monte Carlo Methods 2000, Springer, Berlin, 2002) found links among uniformity in terms of some non-uniformity measures, orthogonality and aberration for regular symmetric factorials. In this paper we extend their results to asymmetric factorials by considering a so-called wrap-around L2-discrepancy to evaluate the uniformity of factorials. Furthermore, a lower bound of wrap-around L2-discrepancy is obtained for asymmetric factorials and two new ways of construction of factorial designs with mixed levels are proposed. © 2003 Elsevier B.V. All rights reserved.

关键词Aberration Generalized word length pattern Orthogonal array Orthogonality Uniformity
DOI10.1016/j.jspi.2003.12.012
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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:000225335800018
Scopus入藏号2-s2.0-8644281237
引用统计
被引频次:25[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/2435
专题个人在本单位外知识产出
通讯作者Fang, Kaitai
作者单位
1.Department of Statistics, Visva-Bharati University, West Bengal, Santiniketan, India
2.Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, China
3.Department of Mathematics, Central China Normal University, Wuhan, China
推荐引用方式
GB/T 7714
Chatterjee, Kashinath,Fang, Kaitai,Qin, Hong. Uniformity in factorial designs with mixed levels[J]. Journal of Statistical Planning and Inference, 2005, 128(2): 593-607.
APA Chatterjee, Kashinath, Fang, Kaitai, & Qin, Hong. (2005). Uniformity in factorial designs with mixed levels. Journal of Statistical Planning and Inference, 128(2), 593-607.
MLA Chatterjee, Kashinath,et al."Uniformity in factorial designs with mixed levels". Journal of Statistical Planning and Inference 128.2(2005): 593-607.
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