Uniform experimental design in chemometrics. (14th February 2018)

• Record Type: Journal Article
• Authors: Xu, Qing‐Song; Xu, Yuan‐Da; Li, Lan; Fang, Kai‐Tai
• Other Names: Yu Ru–Qin guestEditor.
• Is Part Of: Journal of chemometrics. Volume 32:Number 11(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-14
• Subjects: chemistry and chemical engineering -- chemometrics -- discrepancy -- experimental design -- optimization; Chemistry -- Mathematics -- Periodicals; Chemistry -- Statistical methods -- Periodicals; 542.85
• DOI: 10.1002/cem.3020
• Languages: English
• ISSNs: 0886-9383

Abstract

Abstract: 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. Abstract : This paper gives a brief introduction to the recent theoretical developments on uniform experimental design as well as its applications in chemometrics.