APPLICATION OF A BAYESIAN ESTIMATOR FOR IDENTIFICATION OF EDIBLE OILS ON THE BASIS OF SPECTROPHOTOMETRIC DATA
Journal Title: Metrology and Measurement Systems - Year 2008, Vol 15, Issue 3
Abstract
Spectrophotometric analysis of oil mixtures, containing olive oil, is the subject of this paper. Its objective is to compare a new Bayesian estimator with the constrained least-squares estimator, when applied for estimation of concentrations of components of edible oil mixtures, and to assess its applicability for solving problems of industrial monitoring. The comparison is based on the use of semi-synthetic NIR spectrophotometric data and criteria related to measurement uncertainty.
Authors and Affiliations
ROMAN MORAWSKI, CEZARY NIEDZIŃSKI
Keywords
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APPLICATION OF A BAYESIAN ESTIMATOR FOR IDENTIFICATION OF EDIBLE OILS ON THE BASIS OF SPECTROPHOTOMETRIC DATA
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