Estimating the influence of experimental parameters on the prediction error of PLS calibration models based on Raman spectra
- 12 January 2006
- journal article
- Published by Wiley in Journal of Raman Spectroscopy
- Vol. 37 (1-3), 447-466
- https://doi.org/10.1002/jrs.1475
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Estimation of partial least squares regression prediction uncertainty when the reference values carry a sizeable measurement errorChemometrics and Intelligent Laboratory Systems, 2003
- Uncertainty estimation for multivariate regression coefficientsChemometrics and Intelligent Laboratory Systems, 2002
- Introduction to multivariate calibration in analytical chemistryThe Analyst, 2000
- Detection of nonlinearity in multivariate calibrationAnalytica Chimica Acta, 1998
- Improved Prediction Error Estimates for Multivariate Calibration by Correcting for the Measurement Error in the Reference ValuesApplied Spectroscopy, 1997
- Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squaresJournal of Chemometrics, 1997
- Effect of Day-To-Day Noise on UV-Visible Spectrophotometric Control Analyses of Mixtures by Principal Component RegressionApplied Spectroscopy, 1996
- The Link between Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV) Transformations of NIR SpectraJournal of Near Infrared Spectroscopy, 1994
- On the Effect of Calibration and the Accuracy of NIR Spectroscopy with High Levels of Noise in the Reference ValuesApplied Spectroscopy, 1991
- PARTIAL LEAST-SQUARES METHODS FOR SPECTRAL ANALYSES .1. RELATION TO OTHER QUANTITATIVE CALIBRATION METHODS AND THE EXTRACTION OF QUALITATIVE INFORMATIONAnalytical Chemistry, 1988