Dr. Oluwafemi Samuel Oyamakin
Senior LecturerDepartment of Statistics, University of Ibadan, Nigeria
Highest Degree
Ph.D. in Statistics from University of Ibadan, Ibadan, Nigeria
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Department of Statistics, University of Ibadan, Nigeria
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Biography
My name is Samuel Oluwafemi Oyamakin, I hold a Bachelor's, Masters and PhD degrees in Statistics from University of Ibadan where I currently work as a Lecturer I academic staff. I am a Fellow, Graduate Statistician, Chartered Statistician and a Chartered Scientist of the Royal Statistical Society, United Kingdom and also a member of Nigeria Statistical Association, Professional Statisticians’ Society of Nigeria, International Biometric Society, Nigeria Mathematical Society and International Statistical Institute (ISI), among others. I am an applied statistician interested in the development of statistical models for complex biological systems and its application to problems in science and industry with interest in understanding how statistical concepts are best communicated. Currently, I am the Master's degree coordinator and the coordinator of the departments' open and distance learning program in the Department of Statistics, University of Ibadan with a passion for teaching and conducting research in statistics utilization, modeling and practice. I have collaborated with researchers from other disciplines like Public Health, Forestry and Sociology within and outside the country and was among the delegates invited by UNDP (REDD+) to advance knowledge in climate change modeling. I was a participant in the WHO/TDR Programme on Implementation Science and a Mentee of the Working Group providing technical content on projects and initiatives at the University of Ibadan Research Foundation and a member/Mentee on the Ibadan Partnership on the Africa Research on Implementation Sciences and Education (ARISE) project hosted in Tanzania and also the China-Harvard African Network (CHAN) project at the University of Ibadan. I was one of the two ISI Ambassadors selected to attend the International Biometric Conference in Barcelona, Spain. I recently became a fellow of the Partnership for African Social and Governance Research (PASGR), which certified me as one of the Pedagogical Leaders in Africa. I am a dynamic Mathematics and Statistics facilitator with some publications to show my research ability.
Area of Interest:
Bayesian Inference
100%
Biostatistics
62%
Genetic Epidemiology
90%
Applied Statistics
75%
Demography
55%
Research Publications in Numbers
Books
0
0
Chapters
0
0
Articles
33
33
Abstracts
24
24
Selected Publications
- Oyamakin, O.S. and R. Imaledo, 2022. Sensitivity of selected method of estimation based on the lee-carter model. Curr. J. Appl. Sci. Technol., 41: 43-56.
CrossRef | Direct Link | - Oyamakin, O.S. and I.C. Emenike, 2022. An investigation into social and cultural pressures of vulnerable women using survival analysis with covariates. Asian J. Probab. Stat., 18: 38-57.
CrossRef | Direct Link | - Oluwafemi, O.S., B. Dotun and A.Y. Ifeoluwa, 2021. On the effect of meteorological parameters on the spread of COVID-19 with count methodologies. Acta Sci. Paediatr., 4: 29-36.
Direct Link | - Oyamakin, S.O. and T.S. Adeyina, 2020. Modeling the transmission dynamics of LASSA outbreaks in Nigeria States. Cohesive J. Microbiol. Infect. Dis., Vol. 3. 10.31031/CJMI.2020.03.000568.
CrossRef | Direct Link | - Oyamakin, S.O. and M.O. Durojaiye, 2020. Sensitivity of genotype by environment interaction models to outlying observations. Asian J. Res. Agric. For., 5: 29-45.
CrossRef | Direct Link | - Oluwafemi, O.S. and D.M. Olalekan, 2020. Monte carlo approach to genotype by environment interaction models. J. Model Based Res., 1: 26-33.
CrossRef | Direct Link | - Oyamakin, S.O., A.U. Chukwu, W.O.A. Oluwaseun and E.O. Ogunjobi, 2019. Allele based inference on evolution and extinction; A genetic drift approach. J. Cancer Genet. Biomarkers, 1: 1-15.
CrossRef | Direct Link | - Oyamakin, S.O. and O.D. Osanyintupin, 2019. Modeling with hyperbolic restrictions: The Nigerian population dynamics. Cohesive J. Microbiol. Infect. Dis., Vol. 3. 10.31031/CJMI.2019.03.000552.
CrossRef | Direct Link | - Maxwell, O., S.O. Oyamakin, A.U. Chukwu, Y.O. Olusola and A.A. Kayode, 2019. New generalization of length biased exponential distribution with applications. J. Adv. Applied Math., 4: 82-88.
- Maxwell, O., S.O. Oyamakin, A.C. Unna, A.A. Kayode and Y.O. Olusola, 2019. On making an informed decision between four exponential-based continuous compound distributions. J. Adv. Applied Math., 4: 75-81.
- Maxwell, O., O.O. Samuel and E.J. Thomas, 2019. The gompertz length biased exponential distribution and its application to uncensored data. Curr. Trends Biostat. Biometrics, 1: 52-57.
Direct Link | - Maxwell, O., A.U. Chukwu, O.S. Oyamakin and M.A. Khaleel, 2019. The marshall-olkin inverse lomax distribution (MO-ILD) with application on cancer stem cell. J. Adv. Math. Comput. Sci., Vol. 33. 10.9734/jamcs/2019/v33i430186.
CrossRef | Direct Link | - Chukwu, A.U., S.O. Oyamakin and V.E. James-Daniel, 2019. A multilevel hazards model for child mortality in Nigeria. J. Child Adolescent Psychiatry, 1: 9-22.
Direct Link | - Ieren, T.G., S.O. Oyamakin and A.U. Chukwu, 2018. Modeling lifetime data with Weibull-Lindley distribution. Biometrics Biostat. Int. J., 7: 532-544.
CrossRef | - Ieren, T G., S.O. Oyamakin, A. Yahaya, A.U. Chukwu, A.A. Umar and S. Kuje, 2018. On making an informed choice between two Lomax-based continuous probability distributions using lifetime data. Asian J. Probability Stat., 2: 1-11.
Direct Link | - Chukwu, A.U., S.O. Oyamakin and F.F. Olugbemi, 2018. Modelling the determinants of age at first marriage in Nigeria using cox regression models. J. Math. Stat. Anal., Vol. 1. .
PubMed | - Oyamakin, S.O. and O.M. Durojaiye, 2017. Length and area biased exponentiated weibull distribution based on forest inventories. Biometrics Biostat. Int. J., Vol. 6. 10.15406/bbij.2017.06.00163.
CrossRef | Direct Link | - Eby, W.M., S.O. Oyamakin and A.U. Chukwu, 2017. A new nonlinear model applied to the height-DBH relationship in Gmelina arborea. For. Ecol. Manage., 397: 139-149.
CrossRef | Direct Link | - Jaiyeola, M.O., S.O. Oyamakin, J.O. Akinyemi, S.A. Adebowale, A.U. Chukwu and O.B. Yusuf, 2016. Assessing infant mortality in Nigeria using artificial neural network and logistic regression models. Br. J. Math. Comput. Sci., 19: 1-14.
- Chukwu, A.U. and S.O. Oyamakin, 2015. On hyperbolic monomolecular growth model in height/diameter growth of PINES. Br. J. Math. Comput. Sci., 9: 320-327.
Direct Link | - Chukwu, A.U. and S.O. Oyamakin, 2015. On hyperbolic gompertz growth model (HGGM). Int. J. Math. Comput. Nat. Phys. Eng., 9: 126-130.
- Oyamakin, S.O., A.U. Chukwu and T.A. Bamiduro, 2014. On ranking of carbon stocks of selected tree species using statistical distributions. Int. J. Innov. Sci. Math., 2: 154-160.
- Oyamakin, S.O. and A.U. Chukwu, 2014. Statistical analysis of an alternative von Bertalanffy model for tree growth. J. Coupled Syst. Multiscale Dynamics, 2: 157-163.
CrossRef | Direct Link | - Oyamakin, S.O. and A.U. Chukwu, 2014. On the hyperbolic exponential growth model in height/diameter growth of PINES (Pinus caribaea). Int. J. Stat. Applic., 4: 96-101.
CrossRef | Direct Link | - Oluwafemi, O.S. and U.C. Angela, 2014. On hyperbolic sine function in height-diameter modeling of Gmelina Arborea. Int. J. Mod. Math. Sci., 12: 139-156.
- Oluwafemi, O.S. and C.A. Unna, 2014. On differential growth equation to stochastic growth model using hyperbolic sine function in height/diameter modeling of pines. Pure Applied Math. J., 3: 99-104.
- Oyamakin, S.O., A.U. Chukwu and T.A. Bamiduro, 2013. On comparison of exponential and hyperbolic exponential growth models in height/diameter increment of PINES (Pinus caribaea). J. Mod. Applied Stat. Methods, 12: 381-404.
Direct Link | - Oyamakin, S.O., A.D. Fajemila and S. Abdullateef, 2013. Parameter estimation of height-diameter relationships of Gmelina arborea Roxb. (Family Verbenaceae). Agric. Biol. J. North Am., 4: 468-475.
Direct Link | - Oyamakin, S.O., 2012. On performance of simultaneous equation model estimators using average parameter estimates in the presence of correlated random deviates. Asian J. Math. Stat., 5: 39-49.
CrossRef | Direct Link | - Oyamakin, S.O., 2011. Height-diameter relationship in tree modeling using simultaneous equation techniques in correlated normal deviates. J. Mod. Applied Stat. Methods, 10: 676-685.
Direct Link | - Oyamakin, S.O., J.J. Adebayo, O.A. Janet and O. Bola, 2010. Sampling Techniques Procedures in Sustainable Forest Management; a Two-Phase Sampling Approach. Am. J. Sci. Ind. Res., 1: 667-670.
CrossRef | Direct Link | - Oyamakin, O.S., F.J. Ayoola and O.T. Dare, 2010. Time Series Analysis of Rainfall and Temperature in South West Nigeria. Pac. J. Sci. Technol., 11: 552-564.
Direct Link | - Oyamakin, O. and A.A. Adepoju, 2010. Robustness of simultaneous estimation methods to varying degrees of correlation between pairs of random deviates. Global J. Math. Sci.: Theor. Practical, 2: 257-264.
Direct Link | - Oyamakin, O. and A.A. Adepoju, 2010. Robustness of Simultaneous Estimation Methods to Varying Degrees of Correlation Between Pairs of Random Deviates. Global J. Math. Sci. Theor. Pract., 2: 225-232.
Direct Link | - Julius, A.J., A.P. Aluko, B. Oyeleye, B.M. Awosusi, S.O. Oyamakin and N. Oniroko, 2010. Agriculture in the southwest Nigeria: An overview of rainfall variability and its impact on crop production in development. Afr. J. Agric. Res. Dev., 3: 59-64.