Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data

DOI10.1007/S10479-009-0554-ZzbMath1279.62227OpenAlexW2012210188MaRDI QIDQ666467

Hyun Woo Cho, Seung H. Baek, Yi Fang, Young-Seon Jeong, Jong I. Park, Myong K. Jeong

Publication date: 8 March 2012

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-009-0554-z

zbMATH Keywords

principal component analysislatent variableshybrid modelsmultivariate regressionfloating searchNIR spectroscopy

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Applications of statistics in engineering and industry; control charts (62P30) Applications of mathematical programming (90C90)

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Cites Work

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• 10.1162/15324430260185556
• Asymptotics for and against cross-validation
• The elements of statistical learning. Data mining, inference, and prediction

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