Crossmark

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration

Crossref DOI link: https://doi.org/10.1016/j.aca.2013.11.032

Published Print: 2014-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Yun, Yong-Huan

Wang, Wei-Ting

Tan, Min-Li

Liang, Yi-Zeng

Li, Hong-Dong

Cao, Dong-Sheng

Lu, Hong-Mei

Xu, Qing-Song
Funding

Funding for this research was provided by:

National Nature Foundation Committee of PR China (21275164)

National Nature Foundation Committee of PR China (21075138)

National Nature Foundation Committee of PR China (21175157)

National Nature Foundation Committee of PR China (11271374)
License Information

Text and Data Mining valid from 2014-01-01

Text and Data Mining valid from 2014-01-01

stm-asf valid from 2014-01-01

stm-asf valid from 2014-01-01

stm-asf valid from 2014-01-01

stm-asf valid from 2014-01-01

stm-asf valid from 2014-01-01
More Information

This article is maintained by: Elsevier

Article Title: A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration

Journal Title: Analytica Chimica Acta

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aca.2013.11.032

Content Type: article

Copyright: Copyright © 2013 Elsevier B.V. All rights reserved.