ERROR ESTIMATION IN THE QUANTITATIVE SPECTROCHEMICAL ANALYSIS OF MULTICOMPONENT MIXTURE WITH RANDOMLY VARYING SPECTRAL BASELINE

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 th...

Full description

Bibliographic Details
Main Authors: I. M. Dubrovkin, V. A. Ananiev
Format: Article
Language:English
Published: Kemerovo State University 2013-09-01
Series:Вестник Кемеровского государственного университета
Subjects:
Online Access:https://vestnik.kemsu.ru/jour/article/view/328

Similar Items