Regent Retrospect Musekwa | Statistics | Best Researcher Award

Mr. Regent Retrospect Musekwa | Statistics | Best Researcher Award

Research Assistant, Botswana International University of Science and Technology, Botswana

Musekwa Regent is a passionate and skilled statistician currently pursuing a PhD in Statistics at Botswana International University of Science and Technology (BIUST). With a strong foundation in applied statistics, he has excelled in diverse fields such as finance, environmental science, and education, demonstrating a remarkable ability to convert complex data into actionable insights. πŸ“Šβœ¨

Publication Profile

Google Scholar

Education

Musekwa holds an MSc in Statistics from BIUST (2023) and a BSc in Statistics from Midlands State University, Zimbabwe (2020). He is currently working towards his PhD, further enhancing his expertise in statistical theory and applications. πŸŽ“πŸ“š

Experience

As a Teaching Assistant at BIUST since August 2021, Musekwa has contributed to various courses including Statistics for Non-Mathematicians and Multivariate Analysis. He also serves as an Examination Administrator, ensuring compliance with examination regulations. Previously, he worked as a Statistician at Simbisa Brands, where he optimized operational efficiency and analyzed customer preferences. πŸ‘©β€πŸ«πŸ“ˆ

Research Focus

Musekwa’s research primarily revolves around statistical modeling, data analysis, and the development of new statistical distributions. He is particularly interested in applying innovative techniques to real-world problems, contributing to both theoretical and applied statistics. πŸ”πŸ“–

Awards and Honors

Throughout his academic career, Musekwa has received recognition for his contributions to statistical research. His ongoing PhD research has garnered attention, and he has co-authored several publications in esteemed journals, showcasing his commitment to advancing statistical knowledge. πŸ†πŸ“œ

Publication Top Notes

  1. Musekwa, R. R., & Makubate, B. (2023). Statistical analysis of Saudi Arabia and UK Covid-19 data using a new generalized distribution. Scientific African, 22, e01958. Link
  2. Nyamajiwa, V. Z, Musekwa, R. R., & Makubate, B. (2024). Application of the New Extended Topp-Leone Distribution to Complete and Censored Data. Revista Colombiana de EstadΓ­stica, 47. Link
  3. Musekwa, R. R., & Makubate, B. (2024). A flexible generalized XLindley distribution with application to engineering. Scientific African, 24, e02192. Link
  4. Musekwa, R. R., Gabaitiri, L., & Makubate, B. (2024). A new technique of creating families of continuous distributions. Revista Colombiana de EstadΓ­stica. Link
  5. Makubate, B., & Musekwa, R. R. (2024). A novel technique for generating families of distributions. Statistics, Optimization & Information Computing. Link