Specialization
Generalized Linear Models, Robust Statistics, Poisson Regression, Shrinkage Estimation and Statistical Methodology.
Thesis Title
Developing Two-Parameter Estimators for Mitigating Multicollinearity and Outliers in Poisson Regression Models.
Supervisors
- Principal Supervisor: Prof. Timothy O. Olatayo (Statistics)
- Co-Supervisor: Dr. A.T. Owolabi (Statistics)
Thesis Examiners
- External Examiner: Prof. ALABI O.O. (Department Of Statistics. Federal University Of Technology, Akure)
- Faculty Representative: Prof. AJALA O.A (PAM)
- Postgraduate Representative: Professor AMOO, Joshua. O (Department of AEC)
Research Area
Generalized Linear Models, Poisson Regression, Count Data Analysis, Ridge Regression, Liu Estimation, Two-Parameter Estimation, Robust Statistics, Penalized Regression, Monte Carlo Simulation, Statistical Computing and Mathematical Statistics.
Major Courses / Modules
Advanced Statistical InferenceGeneralized Linear ModelsMultivariate Statistical AnalysisAdvanced Regression AnalysisRobust StatisticsBayesian StatisticsStatistical ComputingLinear ModelsAdvanced Sampling TechniquesTime Series AnalysisResearch MethodologySurvival AnalysisCategorical Data AnalysisExperimental DesignMeasure TheoryProbability TheoryComputational StatisticsMachine Learning for StatisticsSeminar in StatisticsDoctoral Research
Statistical Software / Research Tools
RPythonSPSSSTATAMATLABMicrosoft ExcelLaTeXOverleafMinitabMonte Carlo Simulation Techniques
Research Outputs from the Programme
- •Olakunle, K., Owolabi, A. T. & Olatayo, T. O. (2025). Evaluation of New Liu-Ridge Type Estimators for Improved Poisson Regression: Theory and Simulation. Science World Journal.
- •Olakunle, K., Owolabi, A. T. & Olatayo, T. O. (2025). New Ridge-Type Estimator to Mitigate Multicollinearity in the Poisson Regression Model: Theory and Simulation. ZBW Leibniz Information Centre for Economics.
Awards / Funding During the Programme
Tertiary Education Trust Fund (TETFund) Ph.D. Scholarship (2022–2026).