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

Chemometrics and Intelligent Laboratory Systems

Volumn 100, Issue 2, 2010, Pages 91-98

  Jia, Run Da ^a   Mao, Zhi Zhong ^a,b   Chang, Yu Qing ^a,b   Zhang, Shu Ning ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Kernel partial least squares (KPLS); Nonlinear modeling; Partial least squares (PLS); Partial robust M regression (PRM); Robustness

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; INTERMETHOD COMPARISON; KERNEL METHOD; NONLINEAR SYSTEM; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL;

EID: 74149089631     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2009.11.005     Document Type: Article

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