Construction of global and robust near-infrared calibration models based on hybrid calibration sets using Partial Least Squares (PLS) regression
Author:
Affiliation:
1. College of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, China;
2. Key Laboratory of Cigarette Smoke, Shanghai Tobacco Group, Shanghai, China
Funder
Establishment and Dynamic Maintaining of Global and Robust NIR Quantitative Calibration Models for Analyzing Tobacco
Publisher
Informa UK Limited
Subject
Electrochemistry,Biochemistry, medical,Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/00032719.2018.1526299
Reference31 articles.
1. Proximal methods for calibration transfer
2. A new strategy of outlier detection for QSAR/QSPR
3. Nondestructive Discrimination of Pharmaceutical Preparations Using Near-Infrared Spectroscopy and Partial Least-Squares Discriminant Analysis
4. Maintaining the predictive abilities of multivariate calibration models by spectral space transformation
5. Calibration model transfer for near-infrared spectra based on canonical correlation analysis
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