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
- Novena University, Ogume, Delta State 1
- Nuhu Bamalli Polytechnic, Zaria, Kaduna State 7
- Nwafor Orizu College of Education, Nsugbe, Anambra State 1
- Obafemi Awolowo University, Ile-Ife, Osun State 15
- Oduduwa University, Ipetumodu, Osun State 9
- Ogun State College of Health Technology, Ilese-Ijebu, Ogun State 1
- Ogun State Institute of Tech(formerly Gateway Ict Poly), Igbesa, Ogun State 4
- Olabisi Onabanjo University, Ago-Iwoye, Ogun State 37
- Ondo State University of Medical Sciences, Laje Road, Ondo, Ondo State 1
- Osun State College of Education, Ila-Orangun 1