General Minimum Lower-order Confounding Split-plot Designs with Important Subplot Factors

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED Acta Mathematicae Applicatae Sinica, English Series Pub Date : 2025-04-02 DOI:10.1007/s10255-024-1027-5
Tao Sun, Sheng-li Zhao
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引用次数: 0

Abstract

In this paper, we consider the regular s-level fractional factorial split-plot (FFSP) designs when the subplot (SP) factors are more important. The idea of general minimum lower-order confounding criterion is applied to such designs, and the general minimum lower-order confounding criterion of type SP (SP-GMC) is proposed. Using a finite projective geometric formulation, we derive explicit formulae connecting the key terms for the criterion with the complementary set. These results are applied to choose optimal FFSP designs under the SP-GMC criterion. Some two- and three-level SP-GMC FFSP designs are constructed.

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具有重要子图因子的一般最小低阶混杂分图设计
在本文中,当子图(SP)因素更重要时,我们考虑正则s水平分数阶乘分裂图(FFSP)设计。将一般最小下阶混杂判据的思想应用于此类设计,提出了SP型的一般最小下阶混杂判据(SP- gmc)。利用有限射影几何公式,导出了将判据关键项与互补集联系起来的显式公式。这些结果应用于SP-GMC准则下的FFSP优化设计。构建了一些二级和三级SP-GMC FFSP设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
70
审稿时长
3.0 months
期刊介绍: Acta Mathematicae Applicatae Sinica (English Series) is a quarterly journal established by the Chinese Mathematical Society. The journal publishes high quality research papers from all branches of applied mathematics, and particularly welcomes those from partial differential equations, computational mathematics, applied probability, mathematical finance, statistics, dynamical systems, optimization and management science.
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