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Estimarea parametrilor modelului liniar de regresie


  • Constantin ANGHELACHE

    (Universitatea Artifex - Bucuresti)


    (Academia de Studii Economice a Moldovei – Chisinau)

  • Andreea BALTAC

    (Academia de Studii Economice – Bucuresti)

  • Cosmin PAUNESCU

    (Academia de Studii Economice – Bucuresti)


In this paper, the authors propose solving the problematic regarding the estimation of the parameters for the linear regression model. For this, the least squares method, the maximum likelihood method and the Gauss-Markov theorem are used. There are also presented the properties of the parameters and of the estimator of the linear regression model.

Suggested Citation

  • Constantin ANGHELACHE & Ion PARTACHI & Andreea BALTAC & Cosmin PAUNESCU, 2012. "Estimarea parametrilor modelului liniar de regresie," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 60(3), pages 139-148, September.
  • Handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:139-148

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    1. Martinez, M. T. & Fouletier, P. & Park, K. H. & Favrel, J., 2001. "Virtual enterprise - organisation, evolution and control," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 225-238, December.
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