In this paper, the authors measure, with the help of a multiple regression model, the links between the value of GDP, as resultant variable, and as factorial variables, the overall value of properties, the value of agricultural terrains, inide terrains and infrastructure. The model is applied...

In this paper, authors present some considerations regarding the use of non-linear regression functions in the statistical analysis of economical phenomenon. The article includes the description of necessary steps for the determination of model parameters and the interpretation of the factorial...

GDP, one of the main macroeconomic aggregates specific to SNA represents the synthetic expression of economic activity results produced within the economic territory over a period of time, regardless of the contribution that they had domestic or foreign subjects.

Statistical models are tools that help the investor in determining the amount of dependent, depending on the factors causing them, namely of independent variables. It is very important for the investor to understand how funcþoneazã these models and what is the impact of an erroneous uses of...

Given the fact that territorial units are characterized by a large number of statistical variables which have a different economic content, it considers that when we determine the place ocuppied by every unit we must count many statistical variables that are interrelated to each other. In fact,...