CSpace
A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS
Ba, Shan1; Myers, William R.1; Wang, Dianpeng2
2018-04-01
发表期刊STATISTICA SINICA
ISSN1017-0405
卷号28期号:2页码:879-897
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.
关键词Effect sparsity foldover design sample size determination sliced Latin hypercube design space-filling criterion
DOI10.5705/ss.202016.0165
语种英语
资助项目NSAF[U1430125]
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000450211500016
出版者STATISTICA SINICA
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/31728
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ba, Shan]的文章
[Myers, William R.]的文章
[Wang, Dianpeng]的文章
百度学术
百度学术中相似的文章
[Ba, Shan]的文章
[Myers, William R.]的文章
[Wang, Dianpeng]的文章
必应学术
必应学术中相似的文章
[Ba, Shan]的文章
[Myers, William R.]的文章
[Wang, Dianpeng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。