Dr. Patrick Osatohanmwen holds a double Honor B.Sc in Mathematics and Economics, a Master degree in Industrial Mathematics (Statistics) and a PhD in Industrial Mathematics (Mathematical Statistics) all from the University of Benin, Nigeria. He has been a recipient of the University of Benin Scholar Prize also. His areas of research include: Mathematical Statistics, Probability Theory and Financial Econometrics. He has attended several conferences and scientific workshops within and outside Nigeria. He has served as a two time Guest Lecturer/ Resource Person at the Postgraduate training workshop of the Nigerian Statistical Association. He has also been invited as a Resource Person in a workshop on econometric modeling organized by the Department of Statistics, Central Bank of Nigeria, Owerri Branch. He is a member of the Nigerian Statistical Association, Nigerian Mathematical Society and the Statistics Research Group (University of Benin). He has also been at the forefront in the popularization of Probability Distribution Theory in Nigeria and to that effect, he has delivered several workshop lectures. He has authored several articles in both National and International peer-review journals some of which are leading journals in the fields of Mathematics and Statistics.

Journals and Conference Papers

• Osatohanmwen, P., Oyegue, F.O., Ajibade, B. and Idemudia, R. (2017). Probability Models for Low Wind Speed Zones. Journal of the Nigerian Statistical Association, Vol. 29, pp. 14 – 34. URL: https://nsang.org/journalpage-2
• Osatohanmwen, P., Oyegue, F.O. and Ogbonmwan, S.M. (2017). Confidence Bounds for Extreme Wind Speed Estimates: A Comparison of the Gumbel-Burr XII Distribution and the Classical Extreme Value Distribution. Africa Journal of Applied Statistics, Vol. 4(1), pp. 259 – 271. URL: http://dx.doi.org/10.16929/ajas/2017.259.214
• Osatohanmwen, P., Oyegue, F.O., Osemwenkhae J.E. and Ekhosuehi, N. (2017). An Appraisal on Some Methods for Estimating the 2-Parameter Weibull Distributions with Application to Wind Speed Samples. Sri Lankan Journal of Applied Statistics. Vol. 18(3), pp. 146 – 166. URL: http://doi.org/10.4038/sljastasts.v18i3.8001
• Osatohanmwen, P., Oyegue, F.O. and Ogbonmwan, S.M. (2019). A New Member from the T-X Family of Distributions: The Gumbel-Burr XII distribution and its Properties. Sankhya A, Vol. 81, pp. 298 – 322. URL: https://doi.org/10.1007/s13171-017-0110-x
• Ubaka, O.N., and Osatohanmwen, P. (2019). An evaluation study of the Weibull and Gumbel methods for estimating wind speed extremes. Journal of the Nigerian Association of Mathematical Physics. Vol. 49, (January, 2019 issue), pp. 59 – 64. URL: http://e.nampjournals.org/product-info.php?pid3742.html
• Ubaka, O. N and Osatohanmwen, P. (2019). A new generator of probability distributions: the normal –Kumaraswamy- G family of distributions. Benin Journal of Statistics, 2, Vol. 2, pp. 94 -106. URL: https://srg-uniben.org/BENIN%20JOURNAL%20OF%20STATISTICS%20(BJS).html
• Osatohanmwen, P., Oyegue, F.O., Ajibade, B. and Ewere, F. (2020). A New Generalized Family of Distributions on the Unit Interval: The T – Kumaraswamy Family of Distributions. Journal of Data Science, 18 (2), pp. 218 – 236. URL: http://www.jds-online.com
• Osatohanmwen, P., Oyegue, F.O. and Ogbonmwan, S.M. (2020). The T – R {Y} power series family of probability distributions. Journal of the Egyptian Mathematical Society. 28, number 29. URL: https://doi.org/10.1186/s42787-020-00083-7
• Osatohanmwen, P., Oyegue, F.O. and Ogbonmwan, S.M. (2020). Modelling the daily number of reported cases of infection from the COVID-19 pandemic in Nigeria: a stochastic approach. Earthline Journal of Mathematical Sciences. Vol. 5(2), pp. 217 - 235. URL: https://doi.org/10.34198/ejms/.5221.217235
• Omoregie, D.E and Osatohanmwen, P. (2020). Forecasting Nigeria’s Per Capita Disposable Income Using the SARIMA Time Series Framework. Advances and Applications in Statistics, Vol. 64(1), pp. 23 – 32. URL: http://dx.doi.org/10.17654/AS064010023
• Osatohanmwen, P., Oyegue, F.O. and Ogbonmwan, S.M. (2021). The Weibull – Burr XII {log logistic} Poisson distribution. Journal of Statistics and Management Systems. First (online). https://doi.org/10.1080/09720510.2021.1917799
• Osatohanmwen, P., Efe-Eyefia, E., Oyegue, F.O, Osemwenkhae, J.E, Ogbonmwan, S.M and Afere, B.A. (2021). The exponentiated Gumbel-Weibull {log logistic} distribution with application to Nigeria’s COVID-19 infections data. Annals of Data Science. First (online) https://doi.org/10.1007/s40745-022-00373-0