Staff Profile

/Mr Wellington Fredrick Charumbira
Mr Wellington Fredrick Charumbira

Position: Lecturer

Department: Applied Mathematics and Statistics
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Qualifications:  

  • BSc Mathematics (MSU),
  • MSc Statistics and Operations Research (NUST),
  • PhD Statistics  (Awaiting Graduation)

Research Interests     

  • Distribution Theory and Time series

Published Papers:

  • Charumbira, W.F., Oluyede, B., Chipepa, F., & Gabaitiri, L. (2024). The Harris-G Power Series Class of Distributions with Applications. International Journal of Mathematics in Operational Research, 29(2), 234-257. doi.org/10.1504/IJMOR.2023.10058927
  • Charumbira, W.F., Oluyede, B., & Chipepa, F. (2024). A New Generalized Gamma Type II Exponentiated Half Logistic-Topp-Leone-G Family of Distributions with Applications. Electronic Journal of Applied Statistical Analysis, 17(3), 676-702. DOI: 10.1285/i20705948v17n3p676
  • Charumbira, W.F., Oluyede, B., & Chipepa, F. (2025). The New Topp-Leone Exponentiated Half Logistic-Gompertz-G Family of Distributions with Applications. Statistics, Optimization and Information Computing. 1-30. http://dx.doi.org/10.19139/soic-2310-5070-2238
  • Chipepa, F., Abdelwahab, M. M., Charumbira, W. F.,  Hasaballah, M. M.  (2025). A. New Topp–Leone Odd Weibull Flexible-G Family of Distributions with Applications. Mathematics, 13, 2866; https://doi.org/10.3390/math13172866
  • Chipepa, F ,, Abdelwahab, M.M., Charumbira, W.F., Oluyede, B.,  Dingalo, N., Ghorbal , A.B.  and Hasaballah, M.M. (2026) A New Cosine Topp-Leone Exponentiated Half Logistic-G Family of Distributions with Applications. Mathematics, 14(3), 472; https://doi.org/10.3390/math14030472
  • Charumbira, W.F., Hisham M., Chipepa, F., and Pararai, M. (2026) Exploring the New Exponentiated Harris-G Family of Distributions and its Applications. Symmetry, 673; https://doi.org/10.3390/sym18040673
  • Nkomo, W., Oluyede, B., Moakofi, T., Chipepa, F. and Charumbira, W.F. (2026) ‘The new heavy-tailed Weibull exponentiated half logistic-G family of distributions: Properties, actuarial measures and inference’, Statistics, Optimization and Information Computing, 0–27. doi: 10.19139/soic-2310-5070-3125.

 

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