Volatility persistence and returns spillovers between oil and gold prices: Analysis before and after the global financial crisis OOS Yaya, MM Tumala, CG Udomboso Resources Policy 49, 273-281, 2016 | 105 | 2016 |
Comparing ANN and ARIMA model in predicting the discharge of River Opeki from 2010 to 2020 OA Fashae, AO Olusola, I Ndubuisi, CG Udomboso River research and applications 35 (2), 169-177, 2019 | 34 | 2019 |
Does religion affect alcohol and tobacco use among students at North-West University, South Africa? AY Amoateng, BMP Setlalentoa, C Udomboso African Population Studies 31 (1), 2017 | 12 | 2017 |
Socio-demographic factors associated with dietary behaviour among young Ghanaians aged 15-34 years AY Amoateng, PT Doegah, C Udomboso Journal of Biosocial Science 49 (2), 1-9, 2016 | 12 | 2016 |
Comparative analysis of rainfall prediction using statistical neural network and classical linear regression model CG Udomboso Medwell Journals, 2011 | 11 | 2011 |
Predictive modeling of gas production, utilization and flaring in Nigeria using TSRM and TSNN: A comparative approach O Falode, C Udomboso Open Journal of Statistics 6 (1), 194-207, 2016 | 7 | 2016 |
Bio-social correlates of intention to use or not to use contraception: The case of Ghana and Nigeria CG Udomboso, AY Amoateng, PT Doegah African Population Studies 29 (2), 2015 | 5 | 2015 |
On Some Properties of a Hetereogeneous Transfer Function Involving Symmetric Saturated Linear (SATLINS) with Hyperbolic Tangent (TANH) Transfer Functions CG Udomboso Journal of Modern Applied Statistical Methods 12 (2), 427-435, 2013 | 5 | 2013 |
A Modifed Forced Randomized Response Model A Adeniran, AA Sodipo, CG Udomboso Journal of the Nigerian Society of Physical Sciences, 36-50, 2020 | 4 | 2020 |
Prediction of oilfield scale formation using artificial neural network (ANN) O Falode, C Udomboso, F Ebere Advances in Research 7 (6), 1-13, 2016 | 4 | 2016 |
On the level of precision of an heterogeneous statistical neural network model CG Udomboso PhD thesis, Department of Statistics, University of Ibadan, Nigeria, 2014 | 4 | 2014 |
The Use of Gamma and Weibull Distributions in Modeling Rainfall Data in Nigeria: A Comparative Analysis NME Udomboso C. G., Chukwu A. U. Journal of Science Research 9, 69-73, 2010 | 4* | 2010 |
Assessing Impacts of Indicators of Child Wealth Index in Africa: A Study of Four Regions in Sub-Saharan Africa. C Oduaran, CG Udomboso Commonwealth Youth & Development 17 (2), 2019 | 2 | 2019 |
Modelling trends in contraception usage in Nigeria and Ghana CG Udomboso, AY Amoateng Journal of Health Management 20 (3), 277-290, 2018 | 2 | 2018 |
Factors Affecting Learning in an Open and Distance Learning Programme UCG Dontwi I. K., Amahia G. N., Chukwu A. U. International Journal of Distance Education 5, 60-76, 2010 | 2* | 2010 |
Bayesian approach to survival modeling of remission duration for acute leukemia OB Akanbi, OM Oladoja, CG Udomboso International Journal of Engineering Science 20165, 2019 | 1 | 2019 |
Application of regression type estimator in double sampling skills to students’ enrollment in Oyo State CG Udomboso, OB Akanbi, SA Afolabi | 1 | 2019 |
Autoregressive distributed lags (ARDL) modelling of the impacts of climate change on rice production in Kebbi State TO James, AW Babayemi, AS Abdulmuahymin, CG Udomboso, ML Bello Professional Statisticians Society of Nigeria, 2018 | 1 | 2018 |
An adjusted network information criterion for model selection in statistical neural network models CG Udomboso, GN Amahia, IK Dontwi Journal of Modern Applied Statistical Methods 15, 411-427, 2016 | 1 | 2016 |
Modeling Students’ Academic Performance using Artificial Neural Network. CG Asogwa, O. C. and Udomboso FUNAI Journal of Science and Technology 2 (1), 111-121, 2016 | 1* | 2016 |