Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1181179 | Chemometrics and Intelligent Laboratory Systems | 2009 | 7 Pages |
Abstract
In general, linearity is assumed to hold in multivariate calibration, but this may not be true. Penalized signal regression can be extended with an explicit link function between linear prediction and response, in the spirit of single-index models. Like the vector of calibration coefficients, the unknown link function is being estimated by P-splines. Application to simulations and three data sets shows that if a non-linearity is present, it will be picked up by the model and prediction will be improved.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Paul H.C. Eilers, Bin Li, Brian D. Marx,