Comparative Analysis of Maximum Likelihood Estimator (mle) and Poisson Ridge Regression on Soccer Data for Parameter Estimation

Student: TEMITOPE Deborah OGUNDAIRO (Project, 2025)
Department of Mathematics and Statistics
Federal Polytechnic, Ilaro, Ogun State

Abstract

This study investigates the impact of multi collinearity in count data models by comparingMaximum Likelihood Estimation (MLE) and Poisson Ridge Regression models, specificallyusing soccer performance data from Real Madrid FC overall 15-years period. The analysisfocuses on the relationship between match-related variables (e.g. matches won, penalty kicks,yellow/red cards) and goal count to identify the model that offers superior predictive accuracyunder multi collinearity conditions

Keywords
comparative analysis maximum likelihood estimator poisson ridge regression soccer parameter
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