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Professor Delson Chikobvu
Professor Delson Chikobvu
Professor,Department of Mathematical Statistics and Actuarial Science, University of Free
在 ufs.ac.za 的电子邮件经过验证
标题
引用次数
引用次数
年份
A superiority of viral load over CD4 cell count when predicting mortality in HIV patients on therapy
C Shoko, D Chikobvu
BMC infectious diseases 19, 1-10, 2019
1092019
Prediction of daily peak electricity demand in South Africa using volatility forecasting models
C Sigauke, D Chikobvu
Energy Economics 33 (5), 882-888, 2011
1022011
Regression-SARIMA modelling of daily peak electricity demand in South Africa
D Chikobvu, C Sigauke
Journal of Energy in Southern Africa 23 (3), 23-30, 2012
612012
Modelling influence of temperature on daily peak electricity demand in South Africa
D Chikobvu, C Sigauke
Journal of Energy in Southern Africa 24 (4), 63-70, 2013
532013
Daily peak electricity load forecasting in South Africa using a multivariate non-parametric regression approach
C Sigauke, D Chikobvu
ORiON 26 (2), 2010
462010
Extreme risk, value-at-risk and expected shortfall in the gold market
K Chinhamu, CK Huang, CS Huang, D Chikobvu
The International Business & Economics Research Journal (Online) 14 (1), 107, 2015
442015
Modelling of extreme minimum rainfall using generalised extreme value distribution for Zimbabwe
D Chikobvu, R Chifurira
South African Journal of Science 111 (9-10), 01-08, 2015
432015
The challenges of solid waste disposal in rapidly urbanizing cities: A case of Highfield suburb in Harare, Zimbabwe
D Chikobvu, F Makarati
Journal of sustainable development in Africa 13 (7), 184-199, 2011
272011
Time-homogeneous Markov process for HIV/AIDS progression under a combination treatment therapy: cohort study, South Africa
C Shoko, D Chikobvu
Theoretical Biology and Medical Modelling 15, 1-14, 2018
262018
Extreme daily increases in peak electricity demand: Tail-quantile estimation
C Sigauke, A Verster, D Chikobvu
Energy Policy 53, 90-96, 2013
262013
Peak electricity demand forecasting using time series regression models: An application to South African data
C Sigauke, D Chikobvu
Journal of Statistics and Management Systems 19 (4), 567-586, 2016
232016
A weighted multiple regression model to predict rainfall patterns: Principal component analysis approach
R Chifurira, D Chikobvu
Mediterranean Journal of Social Sciences 5 (7), 34-42, 2014
202014
Determinants of viral load rebound on HIV/AIDS patients receiving antiretroviral therapy: results from South Africa
C Shoko, D Chikobvu
Theoretical Biology and Medical Modelling 15, 1-13, 2018
192018
Modelling and forecasting Zimbabwe’s tourist arrivals using time series method: a case study of Victoria Falls rainforest
T Makoni, D Chikobvu
Southern African Business Review 22 (1), 2018
192018
Short-term peak electricity demand in South Africa
C Sigauke, D Chikobvu
African Journal of Business Management 6 (32), 9243, 2012
182012
Quantifying South Africa's sulphur dioxide emission efficiency in coal-powered electricity generation by fitting the three-parameter log-logistic distribution
ME Girmay, D Chikobvu
Journal of Energy in Southern Africa 28 (1), 91-103, 2017
172017
Tail quantile estimation of heteroskedastic intraday increases in peak electricity demand
C Sigauke, A Verster, D Chikobvu
Open Journal of Statistics 2 (4), 435-442, 2012
172012
Modelling extreme risk of the South African Financial Index (J580) using the generalised Pareto distribution
O Jakata, D Chikobvu
Journal of Economic and Financial Sciences 12 (1), 1-7, 2019
132019
Statistical modelling of Zimbabwe’s international tourist arrivals using both symmetric and asymmetric volatility models
D Chikobvu, T Makoni
Journal of Economic and Financial Sciences 12 (1), 1-10, 2019
112019
A Markov model to estimate mortality due to HIV/AIDS using viral load levels-based states and CD4 cell counts: a principal component analysis approach
C Shoko, D Chikobvu, PO Bessong
Infectious diseases and therapy 7, 457-471, 2018
112018
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