Dr. Olumoh has served as a visiting scholar at the Australian Institute of Tropical Health and Medicine, James Cook University.
His research interests are in Distribution theory, Count and categorical data models, Overdispersion/Underdispersion problems in count data, Biostatistics and, the general application of Statistical Methods in Life and Social Sciences. As a Statistician with advanced analytical skills in combining innovative modeling in an interdisciplinary setting and providing meaningful insights into evaluation and assessment of various outcomes, Dr. Olumoh has provided consultancy services to USAID through SENSE education intervention project implemented in Adamawa and Gombe States, and to UNDP on livelihood viability assessment at the crisis-affected areas in Northeastern Nigeria.
Dr. Olumoh joined AUN in 2009 and has taught Statistics courses at both undergraduate and postgraduate classes. He holds a Ph.D. in Statistics at the University of Ilorin, Nigeria. He is a member of many national and international statistical societies amongst them are: Nigerian Statistical Association; Professional Statistical Society of Nigeria; Institute of Mathematical Statistics; International Biometric Society; and International Statistical Institute.
Doctoral dissertation Title:
Distribution theory, Count and categorical data models, Overdispersion / Underdispersion problems in count data, Biostatistics and, the general application of Statistical Methods in Life and Social Sciences.
Chikaodili E. Chukwuneke, Feyisayo V. Adams, Joshua O. Madu, Bolade O. Agboola, Victory F. Inyang, Jamiu S. Olumoh, Charles Reith, Christiana Okere & Jennifer A. Tyndall: Evaluation of seasonal variation of heavy metal contamination and health risk assessment
in Sabore field Adamawa State, Nigeria International Journal of Environmental Analytical Chemistry (2020) https://doi.org/10.1080/03067319.2020.1814270
Majeed A.Adegboye, Jamiu Olumoh, Timor Saffary, Faiz Elfaki, Oyelola A.Adegboye. Effects of time-lagged meteorological variables on the attributable risk of leishmaniasis in the central region of Afghanistan. Science of the Environment 685 (2019)533-541.
J.S. Olumoh, O.O.M. Sanni, O.O. Ajayi, and E.T. Jolayemi. A new Mixture model from Generalized Poisson and Generalized inverse Gaussian distribution. Far East Journal of Theoretical Statistics, 53(3): 139-160 (May 2017) http://dx.doi.org/10.17654/TS053030139
J.S. Olumoh, O.O.M. Sanni, O.O. Ajayi, and E.T. Jolayemi (2016). A Generalized-Poisson Generalized-Inverse-Gaussian Model for Analyzing Count Data. Journal of Mathematical Sciences, 10(2): 35 - 45
Olumoh, J.S, and Ajayi, O.O: A Logistic Regression Model Analysis of Control of Malaria. European International Journal of Science and Technology. 2014, 3(8): 101-107
Tyndall, J. A, Olumoh, J S: The Dilemma of Falciparum Malaria and Telecommunications in Northeastern Nigeria. American Journal of Scientific and Industrial Research. 2012, 3(3): 157-165
Olumoh, J.S, and Oyejola B.A: Comparison of Methods of Estimating Parameters of Linear Regression Models with Autocorrelated Errors and Autoregressive Regressor. International Journal of Statistics and Systems. ISSN 0973-2675, Volume 6, Number 3 (2011),pp 327-337.
Nigerian Statistical Association(NSA)
Institute of Mathematical Statistics(IMS)
Professional Statistical Society of Nigeria(PSSN)
International Biometric Society (IBS)
International Statistical Institute (ISI)