ERROR ESTIMATION IN THE QUANTITATIVE SPECTROCHEMICAL ANALYSIS OF MULTICOMPONENT MIXTURE WITH RANDOMLY VARYING SPECTRAL BASELINE
Abstract
The errors of quantitative analysis of multicomponent mixtures using absorption spectra perturbed by randomly varying baseline could be significantly reduced by the introduction of the noise covariance matrix in least squares estimation. The effectiveness of the proposed method is demonstrated on the example of Excedrin drug analysis.
About the Authors
I. M. Dubrovkin
Western Galilee College
Israel
Iosif M. Dubrovkin – Doctor of Physics and Mathematics, Head of Exact Sciences Department
Israel
Iosif M. Dubrovkin – Doctor of Physics and Mathematics, Head of Exact Sciences Department
V. A. Ananiev
Kemerovo State University
Russian Federation
Vladimir A. Ananiev – Doctor of Chemitry, Professor at the Department of Analytical Chemistry
Russian Federation
Vladimir A. Ananiev – Doctor of Chemitry, Professor at the Department of Analytical Chemistry
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Review
For citations:
Dubrovkin I.M., Ananiev V.A. ERROR ESTIMATION IN THE QUANTITATIVE SPECTROCHEMICAL ANALYSIS OF MULTICOMPONENT MIXTURE WITH RANDOMLY VARYING SPECTRAL BASELINE. SibScript. 2013;(3-1):232-235. (In Russ.)
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