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作 者:WANG Chunyan LIU Min-Qian YANG Jinyu
机构地区:[1]Center for Applied Statistics and School of Statistics,Renmin University of China,Beijing 100872,China [2]School of Statistics and Data Science,LPMC&KLMDASR,Nankai University,Tianjin 300071,China
出 处:《Journal of Systems Science & Complexity》2024年第3期1233-1250,共18页系统科学与复杂性学报(英文版)
基 金:supported by the National Natural Science Foundation of China under Grant Nos. 12131001and 12226343;the MOE Project of Key Research Institute of Humanities and Social Sciences under Grant No.22JJD110001;the National Ten Thousand Talents Program of China。
摘 要:Strong orthogonal arrays(SOAs) were recently introduced and studied as a class of spacefilling designs for computer experiments. To surely realize better space-filling properties, SOAs of strength three or higher are desirable. In addition, orthogonality is also an important property for designs of computer experiments, because it guarantees that the estimates of the main effects are uncorrelated. This paper first provides a systematic study on the construction of(nearly) orthogonal strength-three SOAs with better space-filling properties. The newly proposed strength-three SOAs enjoy almost the same space-filling properties of strength-four SOAs, and can accommodate much more columns than the latter. Moreover, they are(nearly) orthogonal and flexible in run sizes. The construction methods are straightforward to implement, and their theoretical supports are well established. In addition to the theoretical results, many designs are tabulated for practical needs.
关 键 词:Computer experiment ORTHOGONALITY space-filling property strong orthogonal array
分 类 号:O212.6[理学—概率论与数理统计]
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