Pregled bibliografske jedinice broj: 227936
Programming as Methodology for Parameter Estimation in Multiple Linear Regression Model
Programming as Methodology for Parameter Estimation in Multiple Linear Regression Model // Proceedings of the 10th International Conference on Operational Research KOI 2004 / Scitovski, Rudolf ; Jukić, Dragan (ur.).
Osijek: University of Osijek, Department of Marhematics ; Croatian Operational Research Society, zagreb, 2005. str. 175-182 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Programming as Methodology for Parameter Estimation in Multiple Linear Regression Model
Autori
Babić, Zoran ; Jurun, Elza ; Pivac, Snježana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International Conference on Operational Research KOI 2004
/ Scitovski, Rudolf ; Jukić, Dragan - Osijek : University of Osijek, Department of Marhematics ; Croatian Operational Research Society, zagreb, 2005, 175-182
Skup
10th International Conference on Operational Research KOI 2004
Mjesto i datum
Trogir, Hrvatska, 22.09.2004. - 24.09.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
multiple regression model; parameter estimation; linear programming; goal programming
Sažetak
This work results from the concrete need for the mathematical-statistical basis of a business decision on investment in a small enterprise. The interdependence of variables is estimated by the standard statistical way and subsequently parameters are estimated by linear programming by the norm. However, besides the precise estimation of the relevant interdependence in the linear multiple regression model the manager also requires an estimation of parameters values resulting to some extent from the underestimation of the total income due to the turbulent conditions of transitional economy. This additional requirement was met by evaluating the model by use of goal programming by norm, with introduction of the corresponding weights.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija