robust calibration modeling strategy for analysis of interference-subject spectral data

Preprocessing and correction of mixture spectra have been an important issue with regard to the removal of undesired systematic variation due to variations in environmental, instrumental, or sample conditions. In this article, a new robust calibration modeling strategy is proposed on the basis of in...

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Vydané v:	AIChE journal Ročník 56; číslo 1; s. 196 - 206
Hlavní autori:	Zhao, Chunhui, Gao, Furong, Yao, Yuan, Wang, Fuli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 2010 Wiley American Institute of Chemical Engineers
Predmet:	Applied sciences Calibration Chemical engineering Exact sciences and technology Focusing independent component analysis (ICA) interference-subject spectra Mathematical models Preprocessing preprocessing and correction quality prediction robust multivariate calibration Spectra Spectrum analysis Statistical inference Statistics Strategy Subspaces preprocessing and correction independent component analysis (ICA) Independent component analysis Prediction quality prediction Calibration robust multivariate calibration Modeling interference-subject spectra
ISSN:	0001-1541, 1547-5905
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