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Volumn 47, Issue 2, 1999, Pages 165-173

Multiple regression for environmental data: Nonlinearities and prediction bias

Author keywords

Environmental data; Local bias; Nonlinear multiple regression; Partial least squares regression; Prediction bias

Indexed keywords

CALIBRATION; CONFERENCE PAPER; DATA ANALYSIS; NOISE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; STRUCTURE ANALYSIS;

EID: 0033577715     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(98)00204-4     Document Type: Conference Paper
Times cited : (27)

References (20)
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  • 9
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    • A calibration tutorial for spectral data: Part 1. Data pretreatment and principal component regression using Matlab
    • Geladi P., Martens H. A calibration tutorial for spectral data: Part 1. Data pretreatment and principal component regression using Matlab. Journal of Near Infrared Spectroscopy. 4:1996;225-242.
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    • Geladi, P.1    Martens, H.2
  • 10
    • 0030343843 scopus 로고    scopus 로고
    • A calibration tutorial for spectral data: Part 2. Partial least squares regression using Matlab and some neural network results
    • Geladi P., Martens H., Hadjiiski L., Hopke P. A calibration tutorial for spectral data: Part 2. Partial least squares regression using Matlab and some neural network results. Journal of Near Infrared Spectroscopy. 4:1996;243-255.
    • (1996) Journal of Near Infrared Spectroscopy , vol.4 , pp. 243-255
    • Geladi, P.1    Martens, H.2    Hadjiiski, L.3    Hopke, P.4
  • 12
    • 0000050514 scopus 로고    scopus 로고
    • INLR, Implicit non-linear latent variable regression
    • Berglund A., Wold S. INLR, Implicit non-linear latent variable regression. Journal of Chemometrics. 11:1997;141-156.
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    • Berglund, A.1    Wold, S.2
  • 13
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    • An overview of chemometrics applications in near infrared spectrometry
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    • (1995) Journal of Near Infrared Spectroscopy , vol.3 , pp. 119-132
    • Geladi, P.1    Dåbakk, E.2
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    • Comparing neural networks and regression models for ozone forecasting
    • Comrie A. Comparing neural networks and regression models for ozone forecasting. Journal of the Air and Waste Management Association. 47:1997;653-663.
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    • Comrie, A.1
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    • Extreme value theory and its potential role in chemometrics: An introduction
    • Geladi P., Teugels J. Extreme value theory and its potential role in chemometrics: an introduction. Journal of Chemometrics. 10:1996;547-567.
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    • Geladi, P.1    Teugels, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.