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Hire Dr. Oluwafemi O.

Nigeria

USD 100 /hr

I am an applied statistician interested in the development of statistical models for complex biological systems

Profile Summary

Samuel holds Bachelor's, Master's and PhD degrees in Statistics from University of Ibadan where he currently lectures. He is a member of NSA, PSSN, IBS, ISI and RSS, among others. He is an applied statistician interested in the development of statistical models for complex biological systems and its application to problems in science and industry. He has been a part of UNDP (REDD+) working group and WHO/TDR Programme on Implementation Science. He is a Mentee of the Working Group providing technical content on projects and initiatives at the University of Ibadan Research Foundation and also 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 UI.

Subject Matter Expertise

• ★ Biostatistics
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Mathematical Models
• ☆ Demography
• ☆ Epidemiology

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research

Data & AI Statistical Analysis, Data Visualization

Product Development Formulation

Work Experience

Teaching and Research

University of Ibadan Faculty of Science

September 2012 - Present

Research Officer

Forestry Research Institute of Nigeria

April 2009 - August 2012

Education

PhD (Statistics)

University of Ibadan Faculty of Science

July 2011 - October 2015

M.Sc (Statistics)

University of Ibadan Faculty of Science

September 2007 - February 2010

B.Sc (Statistics)

University of Ibadan Faculty of Science

March 2003 - July 2006

Certifications

• CStat., CSCi,

  Royal Statistical Society, London

  https://www.rss.org.uk/

  February 2014 - Present

Publications

JOURNAL ARTICLE

S. Oluwafemi Oyamakin, M. Olalekan Durojaiye(2020). Sensitivity of Genotype by Environment Interaction Models to Outlying Observations . Asian Journal of Research in Agriculture and Forestry. p. 29--45. Sciencedomain International

Oluwafemi, Oyamakin S., Olalekan, Durojaiye M. (2020). Monte Carlo Approach To Genotype By Environment Interaction Models .

Obubu Maxwell, Angela Unna Chukwu, Oluwafemi Samuel Oyamakin, Mundher A. Khaleel(2019). The Marshall-olkin Inverse Lomax Distribution (MO-ILD) with Application on Cancer Stem Cell . Journal of Advances in Mathematics and Computer Science. p. 1--12. Sciencedomain International

S. Oluwafemi Oyamakin, Angela U. Chukwu, Wale-Orojo Oluwaseun A, Ogunjobi E. O, Masoud Mohammadnezhad(2019). Allele Based Inference on Evolution and Extinction; A Genetic Drift Approach . Journal of Cancer Genetics and Biomarkers. 1. (4). p. 1--15. Open Access Pub

Oyamakin, S. Oluwafemi, Chukwu, Angela U., Oluwaseun A, Wale-Orojo, E. O, Ogunjobi (2019). Allele Based Inference on Evolution and Extinction; A Genetic Drift Approach .

A.U, Chukwu, S.O, Oyamakin, V.E, James-Daniel (2019). A Multilevel Hazards Model for Child Mortality In Nigeria .

Terna Godfrey Ieren, Samuel Oluwafemi Oyamakin, Abubakar Yahaya, Angela Unna Chukwu, Adamu Abubakar Umar, Samson Kuje(2018). On Making an Informed Choice between Two Lomax-based Continuous Probability Distributions Using Lifetime Data . Asian Journal of Probability and Statistics. p. 1--11. Sciencedomain International

Wayne M. Eby, Samuel O. Oyamakin, Angela U. Chukwu(2017). A new nonlinear model applied to the height-DBH relationship in Gmelina arborea . Forest Ecology and Management. 397. p. 139--149. Elsevier {BV}

Oyamakin Samuel Oluwafemi(2017). Length and Area Biased Exponentiated Weibull Distribution Based on Forest Inventories . Biometrics & Biostatistics International Journal. 6. (2). {MedCrave} Group, {LLC}

Eby, W.M., Oyamakin, S.O., Chukwu, A.U.(2017). A new nonlinear model applied to the height-DBH relationship in Gmelina arborea . Forest Ecology and Management. 397. p. 139-149.

Oyamakin Samuel Oluwafemi* and Durojaiye Monsuru Olalekhan (2017). Length and Area Biased Exponentiated Weibull Distribution Based on Forest Inventories .

M Jaiyeola, S Oyamakin, J Akinyemi, S Adebowale, A Chukwu, O Yusuf(2016). Assessing Infant Mortality in Nigeria Using Artificial Neural Network and Logistic Regression Models . British Journal of Mathematics & Computer Science. 19. (5). p. 1--14. Sciencedomain International

S. O. Oyamakin, A. U. Chukwu(2015). On Hyperbolic Monomolecular growth model in Height/Diameter growth of PINES . Journal of Applied Mathematics, Statistics and Informatics. 11. (1). p. 5--17. Walter de Gruyter {GmbH}

Angela CHUKWU, Samuel OYAMAKIN(2015). On Hyperbolic Monomolecular Growth Model in Height/ Diameter Growth of PINES . British Journal of Mathematics & Computer Science. 9. (4). p. 320--327. Sciencedomain International

Angela Unna Chukwu, Samuel Oluwafemi Oyamakin (2015). On Hyperbolic Gompertz Growth Model .

Angela Unna Chukwu, Samuel Oluwafemi Oyamakin (2015). On Hyperbolic Gompertz Growth Model .

S. O. Oyamakin, A. U. Chukwu(2014). Statistical analysis of an alternative von Bertalanffy model for tree growth . Journal of Coupled Systems and Multiscale Dynamics. 2. (3). p. 157--163. American Scientific Publishers

S. O Oyamakin, A. U Chukwu, T. A Bamiduro(2013). On Comparison of Exponential and Hyperbolic Exponential Growth Models in Height/Diameter Increment of PINES (Pinus caribaea) . Journal of Modern Applied Statistical Methods. 12. (2). p. 381--404. Wayne State University Library System

S. Oyamakin, A. Fajemila(2013). Parameter estimation of height-diameter relationships of Gmelina arborea Roxb. (Family Verbenaceae) . Agriculture and Biology Journal of North America. 4. (4). p. 468--475. Science Hub

Oyamakin, S.O., Chukwu, U.A., Bamiduro, T.A.(2013). On comparison of exponential and hyperbolic exponential growth models in height/diameter increment of PINES (Pinus caribaea) . Journal of Modern Applied Statistical Methods. 12. (2). p. 381-404.

S.O. Oyamakin(2012). On Performance of Simultaneous Equation Model Estimators Using Average Parameter Estimates in the Presence of Correlated Random Deviates . Asian Journal of Mathematics & Statistics. 5. (2). p. 39--49. Science Alert

S. O. Oyamakin(2011). Height-Diameter Relationship in Tree Modeling Using Simultaneous Equation Techniques in Correlated Normal Deviates . Journal of Modern Applied Statistical Methods. 10. (2). p. 676--685. Wayne State University Library System

Oyamakin, S.O.(2011). Height-diameter relationship in tree modeling using simultaneous equation techniques in correlated normal deviates . Journal of Modern Applied Statistical Methods. 10. (2). p. 676-685.

Oyamakin, Julius, Asaolu, Oyeleye(2010). Sampling techniques procedures in sustainable forest management; a two-phase sampling approach . American Journal of Scientific and Industrial Research. p. 667--670. Science Hub