Estimarea parametrilor modelului liniar de regresie

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.

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Year of publication:	2012
Authors:	ANGHELACHE, Constantin ; PARTACHI, Ion ; BALTAC, Andreea ; PAUNESCU, Cosmin
Published in:	Romanian Statistical Review Supplement. - Institutul National de Statistica şi Studii Economice (INSSE). - Vol. 60.2012, 3, p. 139-148
Publisher:	Institutul National de Statistica şi Studii Economice (INSSE)
Subject:	regression \| parameters \| free term \| maximum likelihood \| covariance

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Extent:	application/pdf
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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