Nonlinear partial least squares regressions for spectral quantitative analysis-Reference-Cited by-同舟云学术

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Nonlinear partial least squares regressions for spectral quantitative analysis

Published:2015-11 Issue: Volume:148 Page:32-50
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wang Yanxia,Cao Hui,Zhou Yan,Zhang Yanbin

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Natural Science Foundation of Shanxi Province of China

Fundamental Research Funds

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference61 articles.

1. Unlocking interpretation in near infrared multivariate calibrations by orthogonal partial least squares;Stenlund;Anal. Chem.,2009

2. Variables selection methods in near-infrared spectroscopy;Zou;Anal. Chim. Acta,2010

3. On-line dissolution determination of Baicalin in solid dispersion based on near infrared spectroscopy and circulation dissolution system;Mou;Chemom. Intell. Lab. Syst.,2011

4. Composition analysis of scattering liquids based on spatially offset visible-near-infrared spectroscopy;Xiong;Appl. Spectrosc.,2012

5. Application of near-infrared spectroscopy in micro inorganic analysis;Shao;Acta Chim. Sin.,2012

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