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Murendeni Maurel Nemukula

 

Mr Nemukula is a Statistics lecturer at UKZN Westville campus. His area of research is extreme value theory with applications in climate change, energy demand, meteorology and finance. He has worked as an adjunct lecturer for Business Statistics for the Master of Business Administration (MBA) programme at University of Limpopo in 2011. He has been lecturing undergraduate Statistics modules since 2012 to date, and is currently involved in supervising postgraduate research students. He is currently studying towards a PhD in Mathematical cs.

 
     
Quote:
  ''By failing to prepare, you are preparing to fail"
     
Position:   Lecturer and Researcher
Qualifications:   B.Sc (Mathematics and Statistics, UNIVEN), B.Sc Honours (Statistics, UL), M.Sc (Mathematical Statistics, Wits)
     
 Telephone:   031 260 3011
  Email:   nemukulam@ukzn.ac.za
     
Recent publications:  
  • Nemukula, M.M., Sigauke, C., & Maposa, D. (2018). Bivariate threshold excess models with application to extreme high temperatures in Limpopo province of South Africa. South African Statistical Journal: Peer-reviewed Proceedings of the 60th Annual Conference of the South African StatisticalAssociation. https://journals.co.za/content/journal/10520/EJC-1298c323dd

  • Nemukula, M.M. and Sigauke, C. (2018). Modelling average maximum daily temperature using r largest order statistics: An application to South African data. JAMBA: Journal of Disaster Risk Studies. 10(1), a467 https://doi.org/10.4102/jamba.v10i1.467


  • Sigauke, C., Nemukula, M.M. & Maposa, D. (2018). Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models. Energies – Open Access Journal of Energy Research, Engineering and Policy.http://www.mdpi.com/1996-1073/11/9/2208/pdf



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