Rotated Sphere Packing Designs
He, Xu
刊名JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
2017
卷号112期号:520页码:1612-1622
关键词Experimental design Lattice Low discrepancy Maximin distance design Minimax distance design
ISSN号0162-1459
DOI10.1080/01621459.2016.1222289
英文摘要We propose a new class of space-filling designs called rotated sphere packing designs for computer experiments. The approach starts from the asymptotically optimal positioning of identical balls that covers the unit cube. Properly scaled, rotated, translated, and extracted, such designs are excellent in maximin distance criterion, low in discrepancy, good in projective uniformity and thus useful in both prediction and numerical integration purposes. We provide a fast algorithm to construct such designs for any numbers of dimensions and points with R codes available online. Theoretical and numerical results are also provided. Supplementary materials for this article are available online.
语种英语
出版者AMER STATISTICAL ASSOC
WOS记录号WOS:000423299400024
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/29445]  
专题应用数学研究所
通讯作者He, Xu
作者单位Chinese Acad Sci, Acad Math & Syst Sci, 55 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
He, Xu. Rotated Sphere Packing Designs[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2017,112(520):1612-1622.
APA He, Xu.(2017).Rotated Sphere Packing Designs.JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,112(520),1612-1622.
MLA He, Xu."Rotated Sphere Packing Designs".JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 112.520(2017):1612-1622.
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