Chapter 9 – Linear Regression Model

Prof. Constantin Anghelache PhD
„Artifex” University of Bucharest, Bucharest University of Economic Studies
Prof. Radu Titus Marinescu PhD
„Artifex” University of Bucharest
Assoc. prof. Emanuela Ionescu PhD
„Artifex” University of Bucharest
Ligia Prodan PhD Student
Bucharest University of Economic Studies
Alexandru Ursache PhD Student
Bucharest University of Economic Studies

Sometimes, for estimating parameters using other techniques of estimation, which cannot be incremental transformations, linear estimation of parameters is made by numerical methods. Linear regression model is based on the series of data for the two features. This requires completion of the methods used for the estimation of the two parameters; specify the methods to be used for testing the properties of the estimators of regression model and setting the framework for the use of the regression model in making predictions.

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Sumar RRSS 4/2015