Department of Statistics

Dr BJ Kanyama

College of Science, Engineering and Technology
School of Science
Department: Statistics
Senior Lecturer
Tel: 011 670 9251
Fax: 011 670 6295
E-mail: kanyabj@unisa.ac.za

Qualifications

  • PhD in Statistics (Unisa)
  • Masters in Statistics (UNISA)
  • Honours in Statistics (UNISA)
  • Honours in Statistics (DRC)

Fields of academic interests

  • Multivariate statistical techniques and Mathematical modelling
  • Statistical inference
  • Applied regression analysis
  • Meta-analysis (Biostatistics)

Field of Specialisation

  • Applied statistics

Journal articles

  1. Kanyama, B. J., Njuho, P. and Majika, J. M. (2018). Improved Structural Equation Models Using Factor Analysis. Pak.stat.oper.res., 14(4), pp. 995-1012.
  2. Kanyama, B, J. and Seeletse, S. M. (2018). The Effects of Power Usage on Power Models in South Africa Using Multivariate Techniques. American journal of Applied Sciences, 15(1): 22-29.
  3. Malela Majika, J. C., Kanyama, B. J. and Rapoo, E. M., (2017). Improved Shewhart-Type Control Schemes under Non-Normality Assumption: A Markov Chain Approach, International Journal of Quality Research, 12 (1): 17 – 42.
  4. Kanyama, B. J. and Njuho, P. (2021). Use of linear Mixed Effects Model in Meta-Analysis for Studies with Multiple Outcomes, International Journal of Agricultural and Statistical Sciences, 16(1), pp. 11-21.
  5. Kanyama, B. J. and Njuho, P. (2021). A Comprehensive Approach for Integrating Meta-analysis into Structural Equation Modeling: Case of Food Production, International Journal of Agricultural and Statistical Sciences, 17(2), pp. 479 – 492.