Status | 已发表Published |
Title | A closer look at de-aliasing effects using an efficient foldover technique |
Creator | |
Date Issued | 2017-05-04 |
Source Publication | Statistics
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ISSN | 0233-1888 |
Volume | 51Issue:3Pages:532-557 |
Abstract | Foldover techniques are used to reduce the confounding when some important effects (usually lower order effects) cannot be estimated independently. This article develops an efficient foldover mechanism for symmetric or asymmetric designs, whether regular or nonregular. In this paper, we take the uniformity criteria (UC) as the optimality measures to construct the optimal combined designs (initial design plus its corresponding foldover design) which have better capability of estimating lower order effects. The relationship between any initial design and its combined design is studied. A comparison study between the combined designs via different UC is provided. Equivalence between any combined design and its complementary combined design is investigated, which is a very useful constraint that reduce the search space. Using our results as benchmarks, we can implement a powerful algorithm for constructing optimal combined designs. Our work covers as well as gives results better than recent works of about 20 articles in the last few years as special cases. So this article is a good reference for constructing effective designs. |
Keyword | combined design complementary combined design foldover technique optimal combined design Uniformity criteria |
DOI | 10.1080/02331888.2016.1240682 |
URL | View source |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:000399481400003 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/1380 |
Collection | Faculty of Science and Technology |
Affiliation | 1.Department of Mathematics,Faculty of Science,Zagazig University,Zagazig,Egypt 2.Faculty of Mathematics and Statistics,Central China Normal University,Wuhan,China 3.Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,China |
First Author Affilication | Beijing Normal-Hong Kong Baptist University |
Recommended Citation GB/T 7714 | Elsawah, A. M. A closer look at de-aliasing effects using an efficient foldover technique[J]. Statistics, 2017, 51(3): 532-557. |
APA | Elsawah, A. M. (2017). A closer look at de-aliasing effects using an efficient foldover technique. Statistics, 51(3), 532-557. |
MLA | Elsawah, A. M.."A closer look at de-aliasing effects using an efficient foldover technique". Statistics 51.3(2017): 532-557. |
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Elsawah-2017-A close(2187KB) | Journal article | Published draft | Open Access | CC BY-NC-SA | View Download |
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