Mr. Hausitoe Nare

Mr. Hausitoe Nare

Senior Lecturer - Statistics & Operations Research

Hausitoe Nare is the current Chairperson of the Department of Statistics and Operations Research. He has held this position since September 2020. He joined the University as a Lecturer in October 2007. He was promoted to Senior Lecturer with effect from 1 January 2023. He has held other positions within the Department and the University. These include being the examinations for the Department for 7 years between 2012 and 2019 as well as being Faculty of Applied Science representative on the Senate ICT committee. 

During his tenure as Chairperson, Mr Nare oversaw the introduction of the Bachelor of Science honours degree in Business Analytics program in August 2021 as well revision of the Bachelor of Science honours degree and Master of Degree in Operations Research and Statistics curricula. 

His research interests include statistics of extremes, generalised linear models and financial econometrics. He has published extensively in peer reviewed journals. 

Mr Nare earned his Bachelor of Science honours degree in Applied Mathematics, Master of Science degree in Operations Research and Post-graduate diploma in Higher Education from the National University of Science and Technology. 

Website: https://scholar.google.com/citations?hl=en&user=0H8XVh0AAAAJ

Email: hausitoe.nare@nust.ac.zw

 

Office: WF15

Extension: 2115

Email: hausitoe.nare@nust.ac.zw

Qualifications
Bsc(Hons) Applied Mathematics(NUST), Msc Operations Research(NUST), Post Graduate Diploma in Higher Education(NUST)

Research
Financial Econometrics; Extreme Value Theory; Discrete time Event and Continuous time Event Simulation Modelling; Stochastic Modelling

 

Publications by Mr. Hausitoe Nare

Ndhlovu, T. Masache, A.Nare, H.Assan, N. Path coefficient analysis of body weight and morphometric measurements in indigenous Matebele goat Zimbabwe. Scientific Journal of Pure and Applied Sciences. 2017. 6(3): 556-564: ISSN 2322-2956

Hausitoe Nare, Daniel Maposa, and ‘Maseka Lesaoana(2012). A method for detection and correction of outliers in time series data. African Journal of Business Management, 2012.

Thandekile Hlongwane, Precious Mdlongwa, Hausitoe Nare and Isabel L. Moyo (2014). Censored Regression Techniques for Credit Scoring: A Case Study of the Commercial Bank of Zimbabwe. International Journal of Economics and Finance, 2014.