中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS

文献类型:期刊论文

作者Ba, Shan1; Myers, William R.1; Wang, Dianpeng2
刊名STATISTICA SINICA
出版日期2018-04-01
卷号28期号:2页码:879-897
关键词Effect sparsity foldover design sample size determination sliced Latin hypercube design space-filling criterion
ISSN号1017-0405
DOI10.5705/ss.202016.0165
英文摘要Many computer experiments involve a large number of input factors, but many of them are inert and only a subset are important. This paper develops a new sequential design framework that can accommodate multiple responses and quickly screen out inert factors so that the final design is space-filling with respect to the active factors. By folding over Latin hypercube designs with sliced structure, this sequential design can have flexible sample size in each stage and also ensure that each stage, as well as the whole combined design, are all approximately Latin hypercube designs. The sequential framework does not require prescribing the total sample size and, under the presence of inert factors, can lead to substantial savings in simulation resources. Even if all factors are important, the proposed sequential design can still achieve a similar overall space-filling property compared to a maximin Latin hypercube design optimized in a single stage.
资助项目NSAF[U1430125]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000450211500016
出版者STATISTICA SINICA
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31727]  
专题中国科学院数学与系统科学研究院
通讯作者Ba, Shan
作者单位1.Procter & Gamble Co, Quantitat Sci, Mason, OH 45040 USA
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Ba, Shan,Myers, William R.,Wang, Dianpeng. A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS[J]. STATISTICA SINICA,2018,28(2):879-897.
APA Ba, Shan,Myers, William R.,&Wang, Dianpeng.(2018).A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS.STATISTICA SINICA,28(2),879-897.
MLA Ba, Shan,et al."A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS".STATISTICA SINICA 28.2(2018):879-897.

入库方式: OAI收割

来源:数学与系统科学研究院

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