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Kernel partial robust M-regression as a flexible robust nonlinear modeling technique

  • Published:2010-02 Issue:2 Volume:100 Page:91-98
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Jia Run-Da,Mao Zhi-Zhong,Chang Yu-Qing,Zhang Shu-Ning

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. Partial least squares regression: a tutorial;Geladi;Analytica Chimica Acta,1986

2. PLS-regression: a basic tool of chemometrics;Wold;Chemometrics and Intelligent Laboratory Systems,2001

3. SIMPLS: an alternative approach to partial least squares regression;de Jong;Chemometrics and Intelligent Laboratory Systems,1993

4. Monte Carlo cross validation;Xu;Chemometrics and Intelligent Laboratory Systems,2001

5. A systematic evaluation of the benefits and hazards of variable selection in latent variable regression: part I. search algorithm theory and simulations;Baumann;Journal of Chemometrics,2002

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