| Customer perception of adoption and use of digital financial services and mobile money services in Uganda TJ Museba, E Ranganai, G Gianfrate Journal of Enterprising Communities: People and Places in the Global Economy …, 2021 | 38 | 2021 |
| An analysis of recent stroke cases in South Africa: Trend, seasonality and predictors L Matizirofa, E Ranganai South African medical journal 110 (2), 92-99, 2020 | 16 | 2020 |
| On studentized residuals in the quantile regression framework E Ranganai Springerplus 5, 1-11, 2016 | 13 | 2016 |
| Multiple case high leverage diagnosis in regression quantiles E Ranganai, JO Van Vuuren, T De Wet Communications in Statistics-Theory and Methods 43 (16), 3343-3370, 2014 | 12 | 2014 |
| Capturing long-range dependence and harmonic phenomena in 24-hour solar irradiance forecasting: A quantile regression robustification via forecasts combination approach E Ranganai, C Sigauke IEEE Access 8, 172204-172218, 2020 | 11 | 2020 |
| Intelligent techniques, harmonically coupled and SARIMA models in forecasting solar radiation data: A hybridisation approach KS Sivhugwana, E Ranganai Journal of Energy in Southern Africa 31 (3), 14-37, 2020 | 10 | 2020 |
| A comparative study of the stochastic models and harmonically coupled stochastic models in the analysis and forecasting of solar radiation data E Ranganai, MB Nzuza Journal of Energy in Southern Africa 26 (1), 125-137, 2015 | 9 | 2015 |
| Value-at-Risk Estimation of Precious Metal Returns using Long Memory GARCH Models with Heavy-Tailed Distribution K Chinhamu, R Chifurira, E Ranganai J. Stat. Appl. Pro 11 (1), 89-107, 2022 | 7 | 2022 |
| Variable selection and regularization in quantile regression via minimum covariance determinant based weights E Ranganai, I Mudhombo Entropy 23 (1), 33, 2020 | 5 | 2020 |
| Peak electricity demand forecasting using partially linear additive quantile regression models N Maswanganyi, C Sigauke, E Ranganai Annual Proceedings of the South African Statistical Association Conference …, 2017 | 5 | 2017 |
| An Application of extreme value theory for measuring Financial Risk in BRICS Economies E Afuecheta, C Utazi, E Ranganai, C Nnanatu Annals of Data Science 10 (2), 251-290, 2023 | 4 | 2023 |
| Reliable predictions of peak electricity demand and reliability of power system management C Sigauke, S Kumar, N Maswanganyi, E Ranganai System Reliability Management, 137-160, 2018 | 4 | 2018 |
| Long memory mean and volatility models of platinum and palladium price return series under heavy tailed distributions E Ranganai, SB Kubheka SpringerPlus 5, 1-20, 2016 | 4 | 2016 |
| Quality of fit measurement in regression quantiles: an elemental set method approach E Ranganai Statistics & Probability Letters 111, 18-25, 2016 | 4 | 2016 |
| A predictive leverage statistic for quantile regression with measurement errors E Ranganai, S Nadarajah Communications in Statistics-Simulation and Computation 46 (8), 6385-6398, 2017 | 2 | 2017 |
| Prediction of extreme conditional quantiles of electricity demand: An application using South African data N Maswanganyi, C Sigauke, E Ranganai Energies 14 (20), 6704, 2021 | 1 | 2021 |
| Long-term peak electricity demand forecasting in South Africa: A quantile regression averaging approach. N Maswanganyi, E Ranganai, C Sigauke AIMS Energy 7 (6), 2019 | 1 | 2019 |
| Aspects of model development using regression quantiles and elemental regressions E Ranganai Stellenbosch: Stellenbosch University, 2007 | 1 | 2007 |
| An Ensemble Approach to Short-Term Wind Speed Predictions Using Stochastic Methods, Wavelets and Gradient Boosting Decision Trees KS Sivhugwana, E Ranganai Wind 4 (1), 3, 2024 | | 2024 |
| Distribution of the elemental regression weights with t-distributed co-variate measurement errors I Seidu, E Nyarko, S Iddi, E Ranganai, K Doku-Amponsah arXiv preprint arXiv:2312.07704, 2023 | | 2023 |
