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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  • EP ID EP123829
  • DOI -
  • Views 89
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How To Cite

ROMAN MORAWSKI, CEZARY NIEDZIŃSKI (2008). APPLICATION OF A BAYESIAN ESTIMATOR FOR IDENTIFICATION OF EDIBLE OILS ON THE BASIS OF SPECTROPHOTOMETRIC DATA. Metrology and Measurement Systems, 15(3), 247-266. https://europub.co.uk/articles/-A-123829