Sliced Orthogonal Array-Based Latin Hypercube Designs
文献类型：期刊论文
| 作者 | Hwang, Youngdeok1; Qian, Peter Z. G.2; He, Xu3
|
| 刊名 | TECHNOMETRICS
 |
| 出版日期 | 2016-01-02 |
| 卷号 | 58期号:1页码:50-61 |
| 关键词 | Computer models Design of experiments Latin hypercube designs Model ensembles Space-filling designs |
| ISSN号 | 0040-1706 |
| DOI | 10.1080/00401706.2014.993092 |
| 英文摘要 | We propose an approach for constructing a new type of design, called a sliced orthogonal array-based Latin hypercube design. This approach exploits a slicing structure of orthogonal arrays with strength two and makes use of sliced random permutations. Such a design achieves one- and two-dimensional uniformity and can be divided into smaller Latin hypercube designs with one-dimensional uniformity. Sampling properties of the proposed designs are derived. Examples are given for illustrating the construction method and corroborating the derived theoretical results. Potential applications of the constructed designs include uncertainty quantification of computer models, computer models with qualitative and quantitative factors, cross-validation and efficient allocation of computing resources. Supplementary materials for this article are available online. |
| 资助项目 | NSF[DMS-1055214] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000370550500009 |
| 出版者 | AMER STATISTICAL ASSOC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22210]  |
| 专题 | 应用数学研究所 |
| 通讯作者 | Hwang, Youngdeok; Qian, Peter Z. G.; He, Xu |
| 作者单位 | 1.IBM Res, Yorktown Hts, NY 10598 USA 2.Univ Wisconsin, Dept Stat, Madison, WI 53706 USA 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hwang, Youngdeok,Qian, Peter Z. G.,He, Xu. Sliced Orthogonal Array-Based Latin Hypercube Designs[J]. TECHNOMETRICS,2016,58(1):50-61. |
| APA | Hwang, Youngdeok,Qian, Peter Z. G.,&He, Xu.(2016).Sliced Orthogonal Array-Based Latin Hypercube Designs.TECHNOMETRICS,58(1),50-61. |
| MLA | Hwang, Youngdeok,et al."Sliced Orthogonal Array-Based Latin Hypercube Designs".TECHNOMETRICS 58.1(2016):50-61. |
入库方式： OAI收割
来源：数学与系统科学研究院
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