Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/56269
Type: Artigo de periódico
Title: Comparison of multivariate calibration techniques applied to experimental NIR data sets
Author: Centner, V
Verdu-Andres, J
Walczak, B
Jouan-Rimbaud, D
Despagne, F
Pasti, L
Poppi, R
Massart, DL
de Noord, OE
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.
Subject: calibration
multivariate
method comparison
NIR
nonlinearity
clustering
Country: EUA
Editor: Soc Applied Spectroscopy
Rights: aberto
Identifier DOI: 10.1366/0003702001949816
Date Issue: 2000
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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