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Kalivas et al., 2015 - Google Patents

Sum of ranking differences (SRD) to ensemble multivariate calibration model merits for tuning parameter selection and comparing calibration methods

Kalivas et al., 2015

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Document ID
16701768676688688330
Author
Kalivas J
Héberger K
Andries E
Publication year
Publication venue
Analytica chimica acta

External Links

Snippet

Most multivariate calibration methods require selection of tuning parameters, such as partial least squares (PLS) or the Tikhonov regularization variant ridge regression (RR). Tuning parameter values determine the direction and magnitude of respective model vectors …
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Classifications

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    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
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    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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    • G01N21/3577Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light for analysing liquids, e.g. polluted water
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