Multiple Regression Model Selection by Information Criteria

In this paper, I considered the problem of selection a model from a collection of candidate models specified by multiple linear regression model. Two criteria are used and compared, they are Akaike information criterion ( ) and Bayesian information criterion ( ). A real data set is considered as an application case. I preferred the model that the chosen rather than depending on the values of and the .