Multivariate calibration.
The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, the significance of the parameters used to evaluate the performance ability of the regression model.
Forina
M
M
Department of Pharmaceutical and Food Chemistry and Technology, University of Genova, Via Brigata Salerno 13, 16147 Genova, Italy. forina@dictfa.unige.it
Lanteri
S
S
Casale
M
M
D002138:Calibration; D015999:Multivariate Analysis