College of Science, Engineering and Technology |
School of Science |
Department: Statistics |
Senior Lecturer
|
Tel: |
011 670 9251
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Fax: |
011 670 6295
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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)
Journal articles
- 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.
- 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.
- 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.
- 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.
- 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.