| Univariate time series analysis of short-term forecasting horizons using artificial neural networks: the case of public ambulance emergency preparedness TW Mapuwei, O Bodhlyera, H Mwambi Journal of Applied Mathematics 2020, 1-11, 2020 | 13 | 2020 |
| A statistical approach to modeling the underground economy in South Africa CT Koloane, O Bodhlyera Journal of Economics and Management 44 (1), 64-95, 2022 | 11 | 2022 |
| Analysis of the changes in chemical properties of dissolving pulp during the bleaching process using piecewise linear regression models O Bodhlyera, T Zewotir, S Ramroop, V Chunilall Cell. Chem. Technol 49 (3-4), 317-332, 2015 | 8 | 2015 |
| Random coefficient model for changes in viscosity in dissolving pulp O Bodhlyera, T Zewotir, S Ramroop Wood Research 59 (4), 571-582, 2014 | 6 | 2014 |
| Integrating Artificial Neural Networks, Simulation and Optimisation Techniques in Ambulance Deployment for Heterogeneous Regions under Stochastic Environment TW Mapuwei, O Bodhlyera, H Mwambi American Journal of Applied Mathematics and Statistics 10 (3), 80-94, 2022 | | 2022 |
| Spatio-temporal modelling of tick life-stage count data with spatially varying coefficients T Lephoto, H Mwambi, O Bodhlyera, H Gaff Geospatial Health 16 (2), 2021 | | 2021 |
| Research Article Univariate Time Series Analysis of Short-Term Forecasting Horizons Using Artificial Neural Networks: The Case of Public Ambulance Emergency Preparedness TW Mapuwei, O Bodhlyera, H Mwambi | | 2020 |
| A statistical analysis of dissolving timber pulp properties using linear mixed models. O Bodhlyera | | 2017 |
