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
- Federal Polytechnic, Mubi, Adamawa State 20
- Federal Polytechnic, Nasarawa, Nasarawa State 59
- Federal Polytechnic, Nekede, Imo State 52
- Federal Polytechnic, offa, Kwara State 18
- Federal Polytechnic, Oko, Anambra State 8
- Federal School of Biomedical Engineering, (LUTH), Idi-Araba, Lagos State 1
- Federal School of Surveying, Oyo, Oyo State 7
- Federal University of Agriculture, Abeokuta, Ogun State 19
- Federal University of Petroleum Resources, Effurun, Delta State 77
- Federal University of Technology Akure, Ondo State 23