中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Uniform experimental design in chemometrics

文献类型:期刊论文

作者Xu, Qing-Song1; Xu, Yuan-Da2; Li, Lan1; Fang, Kai-Tai3,4
刊名JOURNAL OF CHEMOMETRICS
出版日期2018-11-01
卷号32期号:11页码:10
关键词chemistry and chemical engineering chemometrics discrepancy experimental design optimization
ISSN号0886-9383
DOI10.1002/cem.3020
英文摘要Experimental designs and modeling are very important in chemometrics and chemical engineering. There are many kinds of experimental designs, which include the fractional factorial design (including the orthogonal design), the optimal regression design, and the uniform design. The uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space filling design for computer experiments, a robust design against model specification, and a supersaturated design. This paper gives a brief introduction to the recent theoretical developments on uniform experimental design as well as its applications in chemometrics.
资助项目National Natural Science Foundation of China[11271374]
WOS研究方向Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics
语种英语
WOS记录号WOS:000450946800015
出版者WILEY
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31799]  
专题中国科学院数学与系统科学研究院
通讯作者Xu, Qing-Song; Fang, Kai-Tai
作者单位1.Cent S Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China
2.Princeton Univ, Program Appl & Computat Math, Princeton, NJ 08544 USA
3.Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China
4.BNU HKBU United Int Coll, Div Sci & Technol, Zhuhai 519085, Peoples R China
推荐引用方式
GB/T 7714
Xu, Qing-Song,Xu, Yuan-Da,Li, Lan,et al. Uniform experimental design in chemometrics[J]. JOURNAL OF CHEMOMETRICS,2018,32(11):10.
APA Xu, Qing-Song,Xu, Yuan-Da,Li, Lan,&Fang, Kai-Tai.(2018).Uniform experimental design in chemometrics.JOURNAL OF CHEMOMETRICS,32(11),10.
MLA Xu, Qing-Song,et al."Uniform experimental design in chemometrics".JOURNAL OF CHEMOMETRICS 32.11(2018):10.

入库方式: OAI收割

来源:数学与系统科学研究院

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