Synthetic Multivariate Models to Accommodate Unmodeled Interfering Components During Quantitative Spectral Analyses
Description:
The analysis precision of any multivariate calibration method will be severely degraded if unmodeled sources of spectral variation are present in the unknown sample spectra. This paper describes a synthetic method for correcting for the errors generated by the presence of unmodeled components or other sources of unmodeled spectral variation. If the spectral shape of the unmodeled component can be obtained and mathematically added to the original calibration spectra, then a new synthetic multiva…
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Date:
July 14, 1999
Creator:
Haaland, David M.
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