A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis

Over the last decade, near-infrared spectroscopy, together with the use of chemometrics models, has been widely employed as an analytical tool in several industries. However, most chemical processes or analytes are multivariate and nonlinear in nature. To solve this problem, local errors regression...

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Bibliographic Details
Main Authors: Haitao Chang, Lianqing Zhu, Xiaoping Lou, Xiaochen Meng, Yangkuan Guo, Zhongyu Wang
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Analytical Methods in Chemistry
Online Access:http://dx.doi.org/10.1155/2016/5416506
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