Correction of non-linearities in spectroscopic multivariate calibration by using transformed original variables. Part II. Application to principal component regression-Reference-Cited by-同舟云学术

Correction of non-linearities in spectroscopic multivariate calibration by using transformed original variables. Part II. Application to principal component regression

Published:1999-05 Issue:1-3 Volume:389 Page:115-130
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Verdú-Andrés J.,Massart D.L.,Menardo C.,Sterna C.

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference32 articles.

1. Nonlinear multivariate calibration using principal components regression and artificial neural networks;Gemperline;Anal. Chem.,1991

2. H. Martens, T. Næs, Multivariate calibration, Wiley, Chichester, UK, 1989

3. Sources of non-linearity in near-infrared methods;Miller;NIR News,1993

4. Developments in nonlinear multivariate calibration;Gemperline;Chemom. Intell. Lab. Sys.,1992

5. Nonlinear multivariate calibration methods in analytical chemistry;Sekulic;Anal. Chem.,1993

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive absorption spectroscopy with adjustable moving window width for suppressing nonlinear effects in absorbance measurements;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-06

2. Interest of locally weighted regression to overcome nonlinear effects during in situ NIR monitoring of CHO cell culture parameters and antibody glycosylation;Biotechnology Progress;2019-10-14

3. Variable interaction network based variable selection for multivariate calibration;Analytica Chimica Acta;2007-09

4. Multivariate standardisation for non-linear calibration range in the chemiluminescence determination of chromium;Talanta;2007-05-15

5. Evaluation of Multivariate Calibration Using a Tikhonov Regularization Approach and the Generalized Pair‐Correlation Method with Nonlinear Data;Analytical Letters;2007-05