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
For the full publication, please contact the author directly at: ogundairotemitope218@gmail.com
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Institutions
- Osun State College of Education, Ila-Orangun(Aff To Ekiti State Uni), Osun State 1
- Osun State College of Education, Ilesa, Osun State. (affl To Univ of Ibadan) 2
- Osun State Polytechnic, Iree, Osun State 467
- Osun State University, Osogbo, Osun State 11
- Our Saviour Institute of Science and Technology (polytechnic) Enugu, Enugu State 1
- PAN-ATLANTIC UNIVERSITY, KM 52 LEKKI-EPE EXPRESSWAY, IBEJU-LEKKI, LAGOS STATE. 14
- Paul University, Awka, Anambra State 2
- Petroleum Training Institute, Effurun, Delta State 1
- Precious Cornerstone University, Ibadan, Oyo State 1
- Prince Abubakar Audu University, Anyigba 30