Ontology type: schema:Chapter
1997
AUTHORSBelaïd Aouni , Ossama Kettani , Jean-Marc Martel
ABSTRACTThe 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. More... »
PAGES120-128
Advances in Multiple Objective and Goal Programming
ISBN
978-3-540-63599-4
978-3-642-46854-4
http://scigraph.springernature.com/pub.10.1007/978-3-642-46854-4_13
DOIhttp://dx.doi.org/10.1007/978-3-642-46854-4_13
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