Estimarea parametrilor modelului liniar de regresie
Journal Title: Revista Romana de Statistica - Year 2012, Vol 60, Issue 3
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.
Authors and Affiliations
Constantin ANGHELACHE, Ion PÂRŢACHI, Andreea BALTAC, Cosmin PĂUNESCU
Keywords
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