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
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For the full publication, please contact the author directly at: ogundairotemitope218@gmail.com
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Institutions
- Ekiti State University 58
- Ekiti State University, Ado-Ekiti, Ekiti State 880
- Elizade University, Ilara-Mokin, Ondo State 100
- Emmanuel Alayande College of Education, Oyo. (affl To Ekiti State Univ) 1
- Enugu State Polytechnic, Iwollo, Enugu State 4
- Enugu State University of Science and Technology, Enugu, Enugu State 29
- Evangel University, Akaeze, Ebonyi State 2
- FCT COLLEGE OF EDUCATION, ZUBA ,( AFFILIATED TO ABU, ZARIA), FCT-ABUJA 5
- Federal College of Agricultural Produce Tech, Hotoro Gra Ext, Kano, Kano State 2
- Federal College of Educ. (Special), Oyo, Oyo State (Aff To Uni. Ibadan) 10