Estimation Through the Imprecise Goal Programming Model

  • Belaïd Aouni
  • Ossama Kettani
  • Jean-Marc Martel
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 455)

Abstract

The recent studies suggest that mathematical programming could be a good 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 knowlege and experience can be an integral part of the parameters estimation.

Moreover, the mathematical programming gives the possibility to take in account the imprecision associated with some variable values. This paper suggests an estimation model which enables the analyst to integrate his experience and judgement in a context where the values of the dependant variable are imprecise and expressed by an interval.

Keywords

Goal Programming model Imprecise Goals Statistical Estimation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Belaïd Aouni
    • 1
  • Ossama Kettani
    • 1
  • Jean-Marc Martel
    • 1
  1. 1.Faculté des sciences de l’administrationUniversité LavalSainte-FoyCanada

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