The following is an abstract for the selected article. A PDF download of the full text of this article is available here. Members may download full texts at no charge. Non-members may be charged a small fee for certain articles.
Comparison of Multivariate Calibration Techniques Applied to Experimental NIR Data Sets
Volume 54, Number 4 (April 2000) Page 608-623
Centner, Vitezslav; Verdu-Andres, Jorge; Walczak, Beata; Jouan-Rimbaud, Delphine; Despagne, Frederic; Pasti, Luisa; Massart, Desire-Luc; Noord, Onno E. De
The present study compares the performance of different multivariate calibration techniques applied to four near-infrared data sets when test samples are well within the calibration domain. Three types of problems are discussed: the nonlinear calibration, the calibration using heterogeneous data sets, and the calibration in the presence of irrelevant information in the set of predictors. Recommendations are derived from the comparison, which should help to guide a nonchemometrician through the selection of an appropriate calibration method for a particular type of calibration data. A flexible methodology is proposed to allow selection of an appropriate calibration technique for a given calibration problem. Index Headings: Calibration; Multivariate; Method comparison; NIR; Nonlinearity; Clustering.