Standard error of prediction for multilinear PLS 2. Practical implementation in fluorescence spectroscopy
By Rasmus Bro, Å. Rinnan, Nicolaas (Klaas) M. Faber. 2005
70 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/9f67d2dd4c8a52c223ea4b3bafa1e12214f1daa3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Colm O'Donnell
- M. Taghizadeh
- Aoife A. Gowen
- R. Teófilo
- Leonardo Ramirez-Lopez
- Márcia M. C. Ferreira
- Carlos Esquerre
- G. Downey
In Biomedical Engineering
- Colm O'Donnell
- R. Teófilo
- Márcia M. C. Ferreira
- G. Downey
- João Paulo Ataide Martins
- Da‐Wen Sun
- Jun‐Hu Cheng
In Industrial and Manufacturing Engineering
Citations in the corpus
- Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library (2019, background): “Reporting uncertainty of individual samples in the validation sets is useful for determining the precision and trustworthiness of individual predictions and considered a good analytical practice [46].”
- Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression (2009, background): “[41] for the study of several topics in fluorescence spectroscopy and can be found at http://www.”
- Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage (2008, methodology): “Apparent root mean square error of calibration and prediction [34] (RMSEC and RMSEP) were calculated for each model investigated.”