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Chemometrics and Intelligent Laboratory Systems
Volumn 72, Issue 1, 2004, Pages 21-26
Generalized partial least squares regression based on the penalized minimum norm projection
Author keywords

Multivariate calibration; Partial least squares regression; Penalized least squares regression; Principal component analysis; Spectral data
Indexed keywords

ALGORITHM; ARTICLE; INFRARED RADIATION; MATHEMATICAL COMPUTING; METHODOLOGY; PRIORITY JOURNAL; REGRESSION ANALYSIS;
EID: 2642545557     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2004.01.026     Document Type: Article
Times cited : (16)
References (13)
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    • Model construction and evaluation when theoretical knowledge is scarce. Theory and application of partial least squares
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    • Wold, H.1
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    • 0034364945 scopus 로고    scopus 로고
    • Modelling and smoothing parameter estimation with multiple quadratic penalties
    • Wood S.N. Modelling and smoothing parameter estimation with multiple quadratic penalties. J. R. Stat. Soc., Ser. B Stat. Methodol. 62:2000;413-428
    • (2000) J. R. Stat. Soc., Ser. B Stat. Methodol. , vol.62 , pp. 413-428
    • Wood, S.N.1
  • 7
    • 32044449925 scopus 로고
    • Generalized cross validation as a method for choosing a good ridge parameter
    • Golub G.H., Heath C.G., Wahba G. Generalized cross validation as a method for choosing a good ridge parameter. Technometrics. 21:1979;215-223
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  • 10
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    • Combining bilinear modeling and ridge regression
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    • Høy, M.1    Westan, F.2    Martens, H.3
  • 11
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    • PLS regression methods
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  • 12
    • 0020998928 scopus 로고
    • A misuse of ridge regression in the calibration of a near infrared reflectance instrument
    • Fearn T. A misuse of ridge regression in the calibration of a near infrared reflectance instrument. Appl. Stat. 32:1983;73-79
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  • 13
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    • Comparison of linear statistical methods from calibration of NIR instruments
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.