Development Of An Econometric Model Case Study: Romanian Classification System

The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes through all steps involved in the development of the...

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Autor Principal: Savescu Roxana
Formato: Artigo
Idioma:English
Publicado: Sciendo 2015-08-01
Series:Studies in Business and Economics
Subjects:
Acceso en liña:https://doi.org/10.1515/sbe-2015-0027
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author Savescu Roxana
author_facet Savescu Roxana
author_sort Savescu Roxana
collection DOAJ
description The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes through all steps involved in the development of the model: statement of theory, specification of the mathematical model, sampling and collection of data, estimation of the parameters of the chosen econometric model, tests of the hypothesis derived from the model and prediction equations. The data have been in a controlled experiment conducted by the Romanian Carcass Classification Commission in 2007. The purpose of the experiment was to develop the prediction formulae to be used in the implementation of SEUROP classification system, imposed by European Union legislation. The research methodology used by the author in this study consisted in reviewing the existing literature and normative acts, analyzing the primary data provided by and organization conducting the experiment and interviewing the representatives of the working team that participated in the trial.
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spelling doaj.art-2cbf9d567fd74f23a2b28d5c7ba77ca12022-12-22T00:06:40ZengSciendoStudies in Business and Economics2344-54162015-08-0110216016910.1515/sbe-2015-0027sbe-2015-0027Development Of An Econometric Model Case Study: Romanian Classification SystemSavescu Roxana0Lucian Blaga University of Sibiu, RomaniaThe purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes through all steps involved in the development of the model: statement of theory, specification of the mathematical model, sampling and collection of data, estimation of the parameters of the chosen econometric model, tests of the hypothesis derived from the model and prediction equations. The data have been in a controlled experiment conducted by the Romanian Carcass Classification Commission in 2007. The purpose of the experiment was to develop the prediction formulae to be used in the implementation of SEUROP classification system, imposed by European Union legislation. The research methodology used by the author in this study consisted in reviewing the existing literature and normative acts, analyzing the primary data provided by and organization conducting the experiment and interviewing the representatives of the working team that participated in the trial.https://doi.org/10.1515/sbe-2015-0027econometricspredictive modelregression analysisseurop system
spellingShingle Savescu Roxana
Development Of An Econometric Model Case Study: Romanian Classification System
Studies in Business and Economics
econometrics
predictive model
regression analysis
seurop system
title Development Of An Econometric Model Case Study: Romanian Classification System
title_full Development Of An Econometric Model Case Study: Romanian Classification System
title_fullStr Development Of An Econometric Model Case Study: Romanian Classification System
title_full_unstemmed Development Of An Econometric Model Case Study: Romanian Classification System
title_short Development Of An Econometric Model Case Study: Romanian Classification System
title_sort development of an econometric model case study romanian classification system
topic econometrics
predictive model
regression analysis
seurop system
url https://doi.org/10.1515/sbe-2015-0027
work_keys_str_mv AT savescuroxana developmentofaneconometricmodelcasestudyromanianclassificationsystem