Comparison of Multivariate Calibration Techniques Applied to Experimental NIR Data Sets-Reference-Cited by-同舟云学术

Comparison of Multivariate Calibration Techniques Applied to Experimental NIR Data Sets

Published:2000-04 Issue:4 Volume:54 Page:608-623
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Centner Vítézslav¹,Verdú-Andrés Jorge¹,Walczak Beata¹,Jouan-Rimbaud Delphine¹,Despagne Frédéric¹,Pasti Luisa¹,Poppi Ronei¹,Massart Désiré-Luc¹,de Noord Onno E.¹

Affiliation:

1. Chemo AC, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussel, Belgium (V.C., J.V.-A., B.W., D.J.-R., FD., L.P., R.P., D.-L.M.); and Shell International Chemicals B.V, Shell Research and Technology Centre, Amsterdam, P.O. Box 38 000, 1030 BN Amsterdam, The Netherlands (O.E.D.)

Abstract

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.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/0003702001949816

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3. The Use of Principal Components in the Analysis of Near-Infrared Spectra

4. A Note on the Use of Principal Components in Regression

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