Estimarea parametrilor modelului liniar de regresie

Constantin Anghelache, Ion Partachi, Andreea Baltac and Cosmin Paunescu
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Constantin Anghelache: Universitatea Artifex - Bucuresti
Ion Partachi: Academia de Studii Economice a Moldovei – Chisinau
Andreea Baltac: Academia de Studii Economice – Bucuresti
Cosmin Paunescu: Academia de Studii Economice – Bucuresti

Romanian Statistical Review Supplement, 2012, vol. 60, issue 3, 139-148

Abstract: 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.

Keywords: regression; parameters; free term; maximum likelihood; covariance (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:60:y:2012:i:3:p:139-148

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