Wavelength Interval Selection in Multicomponent Spectral Analysis by Moving Window Partial Least-Squares Regression with Applications to Mid-Infrared and Near-Infrared Spectroscopic Data-Reference-Cited by-同舟云学术

Wavelength Interval Selection in Multicomponent Spectral Analysis by Moving Window Partial Least-Squares Regression with Applications to Mid-Infrared and Near-Infrared Spectroscopic Data

Published:2002-06-13 Issue:14 Volume:74 Page:3555-3565
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Jiang Jian-Hui¹,Berry R. James¹,Siesler Heinz W.¹,Ozaki Yukihiro¹

Affiliation:

1. Department of Chemistry, School of Science and Technology, Kwansei-Gakuin University, Gakuen, Sanda, Hyogo 669-1337, Japan, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P. R. China, and Department of Physical Chemistry, University of Essen, Essen D45117, Germany

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac011177u

Reference30 articles.

1. Partial least-squares regression: a tutorial

2. A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables

3. Principal covariates regression

4. SIMPLS: An alternative approach to partial least squares regression

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