INFERENCE ABOUT THE FIFA MATCHES: AN APPLICATION OF THE LOGISTIC REGRESSION AND CLASSICAL TESTS

Abstract

The basic idea behind this work is to apply some classical inferential techniques for the goals scored in the football world cup tournaments. The Fédération International de Football Association (FIFA) organizes this event after every four years. According to the FIFA ranking, first three ranks are given to the national teams of Spain, Germany and Argentina, respectively. We take 56 matches of Spain, 99 matches of Germany and 70 matches of Argentina. The logistic regression is used to find the match-win prediction using different factors. As a result Germany is found to be an unpredictable team. For testing the mean goal of the said teams, we used the Wald, LR and Score tests. To compare the power of these tests empirically and graphically, the Monte Carlo simulation scheme is used.