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Estimation Through The Imprecise Goal Programming Model

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Author Info
Aouni, B
Kettani, O
Martel, J-M
Abstract

The recent studies suggest that mathematical programming could be alternative to the conventional statistical analysis methods as the least squares method and the least absolute method. In fact, the mathematical programming models provide more flexibility for modelling the estimation context. This flexibility gives to the analyst a platform where his knowledge and experience can be an integral part of the parameters estimation.

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Publisher Info
Paper provided by Laval - Faculte des sciences de administration in its series Papers with number 96-65.

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Length: 17 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:fth:lavadm:96-65

Contact details of provider:
Postal: Canada; Universite Laval, Faculte des sciences de l'administration. Pavillon des sciences de l'administration. Universite laval, Quebec, Canada G1K 7P4
Phone: (418) 656-2180
Fax: (418)656-2624
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Web page: http://www.fsa.ulaval.ca/
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Related research
Keywords: COMPUTERS; STATISTICAL ANALYSIS;

Find related papers by JEL classification:
C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

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