A simple method for linearizing nonlinear spectra for calibration Conference Paper

abstract

• The development and acceptance of spectral calibration methods has been an important success story for the field of chemometrics. This paper contains a new study of a very old calibration method (K-matrix calibration, parallel calibration, or generalized inverse prediction) and partial least squares (PLS), the mainstay of modern chemometrics. We show that with some modest amount of modification, the old method of calibration is comparable, in terms of prediction, to PLS for spectroscopy involving nonlinear spectral responses. 2002 Published by Elsevier Science B.V.

authors

• Cote, Gerard

published proceedings

• CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

author list (cited authors)

• Spiegelman, C., Wikander, J., O'Neal, P., & Cote, G. L.

citation count

• 6

complete list of authors

• Spiegelman, C||Wikander, J||O'Neal, P||Cote, GL

publication date

• January 2002

publisher

• Elsevier  Publisher

published in

• Chemometrics and Intelligent Laboratory Systems  Journal

keywords

• Calibration
• Linearization
• Nonlinear Spectra

Digital Object Identifier (DOI)

• 10.1016/S0169-7439(01)00196-4

start page

• 197

end page

• 209

volume

• 60

issue

• 1-2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fs0169-7439%2801%2900196-4