Titre :
|
Use of mean square prediction error analysis and reproducibility measures to study near infrared calibration equation performance
|
Auteurs :
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M. Dhanoa ;
S. Lister ;
J. France ;
R. Barnes
|
Type de document :
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article/chapitre/communication
|
Année de publication :
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1999
|
Format :
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p. 133-143
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Langues:
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= Anglais
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Catégories :
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DOSAGE ET ANALYSE PHYSICO-CHIMIQUE
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Mots-clés:
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SPECTROSCOPIE
;
PROCHE INFRAROUGE
;
METHODE DES MOINDRES CARRES
;
ETALONNAGE
;
CALCUL D'ERREUR
;
METHODE STATISTIQUE
|
Résumé :
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Monitoring of calibration equation performance is essential if high quality of predicted analytical data is to be sustained. In this paper we outline and illustrate the use of some statistical methods which are well suited for postprediction data scrutiny. Mean square prediction error is partitioned into three components, viz, mean bias, systematic bias and random error. Reproducibility measures such as concordance correlation (r(c)), intraclass correlation (r(2)) and correlation between difference and sum (r((X- Y)(X + Y))) are also discussed. Other topics discussed include the maximisation of R-2, type II regression (both variables with error model) and new graphical displays.
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Source :
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Journal of Near Infrared Spectroscopy, vol.7, n°3
|