Evaluation of trends in residuals of multivariate calibration models by permutation test

Chemometrics and Intelligent Laboratory Systems

Volumn 133, Issue , 2014, Pages 33-41

  Filgueiras, Paulo R ^a   Alves, Júlio Cesar L ^a   Sad, Cristina M S ^b   Castro, Eustáquio V R ^b   Dias, Júlio C M ^c   Poppi, Ronei J ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

^c PETROBRAS   (Brazil)

Author keywords

Partial least squares; Permutation test; Principal component regression; Residuals in multivariate calibration; Support vector regression (SVR)

Indexed keywords

BIODIESEL; PETROLEUM;

ARTICLE; ATTENUATED TOTAL REFLECTANCE INFRARED SPECTROSCOPY; CALCULATION; CONTROLLED STUDY; INFRARED SPECTROMETRY; KINEMATICS; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; MULTIVARIATE CALIBRATION MODEL; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PERMUTATION TEST; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SOYBEAN; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TREND STUDY;

EID: 84894664165     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.02.002     Document Type: Article

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