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Multi-window classical least squares method

Haaland et al. [91] developed a so-called multi-window classical least-squares method for ICP-OES measurements [charge-couple device (CCD) detector arrays]. Essentially, it consisted in performing a classical least-squares regression in each of the spectral windows which were measured and combining the concentration predictions (for a given analyte). The methodology was compared with PLS and it proved superior and capable of handling interferences from several concomitants. [Pg.234]

D. M. Haaland, W. B. Chambers, M. R. Keenan and D. K. Melgaard, Multi-window classical least-squares multivariate calibration methods for quantitative ICP-AES analyses, Appl. Spectrosc., 54(9), 2000, 1291— 1302. [Pg.242]


See also in sourсe #XX -- [ Pg.234 ]




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