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作者机构:Peking Univ Sch Math Sci LMAM Beijing 100871 Peoples R China Peking Univ Ctr Stat Sci Beijing 100871 Peoples R China Sci & Technol Complex Land Syst Simulat Lab Beijing 100012 Peoples R China
出 版 物:《JOURNAL OF STATISTICAL PLANNING AND INFERENCE》 (统计规划与统计推断杂志)
年 卷 期:2017年第181卷
页 面:1-10页
核心收录:
学科分类:07[理学] 0714[理学-统计学(可授理学、经济学学位)] 0701[理学-数学] 070101[理学-基础数学]
基 金:NSFC [11271032, 11331011, 11671019] BCMIIS LMEQF
主 题:Discrepancy Generalized wordtype pattern U-design Stochastic algorithm
摘 要:Orthogonal array-based Latin hypercubes, also called U-designs, have popularly been adopted for designing a computer experiment. The relationship between the averaged discrepancy of all U-designs generated from a given orthogonal array and the generalized wordtype pattern of the orthogonal array is established. Motivated by the relationship, we define a weighted wordtype pattern and a minimum weighted aberration criterion to compare orthogonal arrays of the same parameters. U-designs generated from an orthogonal array with less weighted aberration are shown to have low discrepancies on average. Then, an algorithm to construct uniform U-designs is proposed. It begins with a minimum weighted aberration orthogonal array and its advantage is illustrated by comparing with the threshold-accepting algorithm. (C) 2016 Elsevier B.V. All rights