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Volumn 37, Issue 1-3, 2006, Pages 447-466

Estimating the influence of experimental parameters on the prediction error of PLS calibration models based on Raman spectra

Author keywords

Errors; Multivariate calibration; Partial least squares (PLS); Prediction; Simulations

Indexed keywords

CALIBRATION; FORECASTING; LEAST SQUARES APPROXIMATIONS; RAMAN SCATTERING;

EID: 32044445091     PISSN: 03770486     EISSN: 10974555     Source Type: Journal    
DOI: 10.1002/jrs.1475     Document Type: Conference Paper
Times cited : (23)

References (23)
  • 19
    • 0002661030 scopus 로고
    • Multivariate linearity tranformation for near-infrared reflectance spectrometry
    • Christie OHJ (ed). Stokkand Forlag: Stavanger, N-4000
    • Martens H, Jensen SA, Geladi P. Multivariate linearity tranformation for near-infrared reflectance spectrometry. In Symposium on Applied Statistics, Christie OHJ (ed). Stokkand Forlag: Stavanger, N-4000, 1983; 208.
    • (1983) Symposium on Applied Statistics , pp. 208
    • Martens, H.1    Jensen, S.A.2    Geladi, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.