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Volumn 80, Issue 13, 2008, Pages 4951-4959
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Increasing robustness against changes in the interferent structure by incorporating prior information in the augmented classical least-squares framework
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Author keywords
[No Author keywords available]
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Indexed keywords
ADMINISTRATIVE DATA PROCESSING;
COSMIC RAYS;
CURVE FITTING;
EIGENVALUES AND EIGENFUNCTIONS;
FINANCIAL DATA PROCESSING;
FOOD ADDITIVES;
FOOD PROCESSING;
GEODESY;
INVERSE PROBLEMS;
LINEAR REGRESSION;
PRINCIPAL COMPONENT ANALYSIS;
(I ,J) CONDITIONS;
ADDITIVE MODELS;
AMERICAN CHEMICAL SOCIETY (ACS);
BIOLOGICAL SAMPLES;
CLASSICAL LEAST SQUARES (CLS);
INTERFERENTS;
INVERSE MODELING;
LEAST SQUARES (LS);
MULTIVARIATE CALIBRATION (MVC) METHODS;
PARTIAL LEAST SQUARES (PLS 1);
PREDICTIVE POWER;
PRINCIPAL COMPONENT REGRESSION (PCR);
PRIOR INFORMATION;
ROOT MEAN SQUARED (RMS);
SPECTRA (CO);
LEAST SQUARES APPROXIMATIONS;
ANALYTICAL ERROR;
ARTICLE;
CALIBRATION;
MULTIVARIATE ANALYSIS;
PARTIAL LEAST SQUARES REGRESSION;
PRINCIPAL COMPONENT ANALYSIS;
REGRESSION ANALYSIS;
STATISTICAL MODEL;
VALIDATION PROCESS;
BEVERAGES;
CALIBRATION;
CASEINS;
COMPUTER SIMULATION;
GLUCOSE;
LACTIC ACID;
LEAST-SQUARES ANALYSIS;
LYCOPERSICON ESCULENTUM;
MODELS, STATISTICAL;
POWDERS;
REPRODUCIBILITY OF RESULTS;
SPECTROSCOPY, FOURIER TRANSFORM INFRARED;
SPECTROSCOPY, NEAR-INFRARED;
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EID: 46849115785
PISSN: 00032700
EISSN: None
Source Type: Journal
DOI: 10.1021/ac800155n Document Type: Article |
Times cited : (44)
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References (21)
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