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A Journal of Theoretical and Applied Statistics
Volume 51, 2017 - Issue 3
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Original Articles

A closer look at de-aliasing effects using an efficient foldover technique

A. M. ElsawahDepartment of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt;Faculty of Mathematics and Statistics, Central China Normal University, Wuhan, People's Republic of China;Beijing Normal University-Hong Kong Baptist University, United International College, Zhuhai, People's Republic of ChinaCorrespondence[email protected]
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Pages 532-557 | Received 23 Oct 2015, Accepted 20 Jul 2016, Published online: 07 Oct 2016

Citations (18)

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Read on this site (4)

A. M. Elsawah. (2022) Novel techniques for performing successful follow-up experiments based on prior information from initial-stage experiments. Statistics 56:5, pages 1133-1165.
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A. M. Elsawah, Yu Tang & Kai-Tai Fang. (2019) Constructing optimal projection designs. Statistics 53:6, pages 1357-1385.
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A. M. Elsawah & Kai-Tai Fang. (2019) A catalog of optimal foldover plans for constructing U-uniform minimum aberration four-level combined designs. Journal of Applied Statistics 46:7, pages 1288-1322.
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A. M. Elsawah. A novel hybrid algorithm for designing mixed three- and nine-level experiments without modeling assumptions. Communications in Statistics - Simulation and Computation 0:0, pages 1-35.
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Articles from other publishers (14)

A. M. Elsawah, Yi-An Wang, Zhihan Chen & Fatih Tank. (2023) A sequential designing-modeling technique when the input factors are not equally important. Computational and Applied Mathematics 43:1.
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A. M. Elsawah. (2023) A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs. Journal of the Korean Statistical Society.
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A. M. Elsawah & Yingyao Gong. (2023) A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs. Journal of the Korean Statistical Society 52:3, pages 621-646.
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A. M. Elsawah. (2022) Improving the space-filling behavior of multiple triple designs. Computational and Applied Mathematics 41:4.
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A. M. Elsawah. (2021) Multiple doubling: a simple effective construction technique for optimal two-level experimental designs. Statistical Papers 62:6, pages 2923-2967.
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A. M. Elsawah, Kai-Tai Fang, Ping He & Hong Qin. (2019) Sharp lower bounds of various uniformity criteria for constructing uniform designs. Statistical Papers 62:3, pages 1461-1482.
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A.M. Elsawah. (2021) An appealing technique for designing optimal large experiments with three-level factors. Journal of Computational and Applied Mathematics 384, pages 113164.
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Lin-Chen Weng, A. M. Elsawah & Kai-Tai Fang. (2021) Cross-Entropy Loss for Recommending Efficient Fold-Over Technique. Journal of Systems Science and Complexity 34:1, pages 402-439.
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A. M. Elsawah, Kai-Tai Fang & Xiao Ke. (2019) New recommended designs for screening either qualitative or quantitative factors. Statistical Papers 62:1, pages 267-307.
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A. M. Elsawah & Kai-Tai Fang. (2017) New foundations for designing U-optimal follow-up experiments with flexible levels. Statistical Papers 61:2, pages 823-849.
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A. M. Elsawah. (2020) Building some bridges among various experimental designs. Journal of the Korean Statistical Society 49:1, pages 55-81.
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A. M. Elsawah. (2019) Designing Uniform Computer Sequential Experiments with Mixture Levels Using Lee Discrepancy. Journal of Systems Science and Complexity 32:2, pages 681-708.
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A. M. Elsawah. (2017) Choice of optimal second stage designs in two-stage experiments. Computational Statistics 33:2, pages 933-965.
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A. M. Elsawah & Kai-Tai Fang. (2018) New results on quaternary codes and their Gray map images for constructing uniform designs. Metrika 81:3, pages 307-336.
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