Estimation of partial least squares regression prediction uncertainty when the reference values carry a sizeable measurement error
- Fernández Pierna, J.A. , Jin, L. , Wahl, F. , Faber, M. & Massart, D. (2003). Estimation of partial least squares regression prediction uncertainty when the reference values carry a sizeable measurement error. Chemom. Intell. Lab. Syst. 65: 281-291.
Type | Journal Article |
Year | 2003 |
Title | Estimation of partial least squares regression prediction uncertainty when the reference values carry a sizeable measurement error |
Journal | Chemom. Intell. Lab. Syst. |
Label | U15-0516 |
Recnumber | 345 |
Volume | 65 |
Pages | 281-291 |
Date | November 2003 |
Type of article | scientifique, recherche |
Endnote Keywords | Multivariate calibration|Partial least squares regression|Uncertainty estimation|Standard error of prediction|Monte Carlo simulation|Bootstrap|Noise addition|Near infrared spectroscopy| |
Abstract | The prediction uncertainty is studied when using a multivariate partial least squares regression (PLSR) model constructed with reference values that contain a sizeable measurement error. Several approximate expressions for calculating a sample-specific standard error of prediction have been proposed in the leterature. In addition, Monte Carlo simulation methods such as the bootstrap and the noise addition can give an estimate of this uncertainty. In this paper, two approximate expressions are compared with the simulation methods for three near-infrared date sets. |
Author address | Fernandez Pierna Juan Antonio, Quality Department of Agro-food Products, Walloon Agricultural Research Centre (CRA-W), Chaussée de Namur, 24, B-5030 Gembloux, fernandez@cra.wallonie.be |
Fichier | |
Caption | U15-0516-fernandez-2003.pdf |
Authors | Fernández Pierna, J.A., Jin, L., Wahl, F., Faber, M., Massart, D. |