Dr. Kikawa Richard Cliff

Senior Lecturer - Statistics

Cliff Richard Kikawa is a lecturer of Statistics specializing in data modelling. With a strong background in Statistical Estimation and Distribution Theory and ten years of experience, Cliff has successfully modelled presidential results using economic indicators supported by vector Regression and efficient statistical solutions for complex technical challenges using both deterministic and stochastics models. He is well-versed in various script programming languages and frameworks like R, lavaan R and JASP. In his spare time, Cliff enjoys reading about animal and plant husbandry related material.

 

Qualifications

PhD of Mathematical Technology (Statistics) TUT, South Africa.

M. Statistics (Mak)

BSc Education (MUST),

Research Interests

Estimation and distribution theory; Structural Equation Modelling; Econometric modelling; Vector Reression Modelling

Publications

CR. Kikawa, MN. Ngungu, D. Ntirampeba, A. Ssematimba . (2020) . Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections . Applied Mathematics & Information Sciences, [online] Volume 14(4), pp. 721-727. Available at: http://www.naturalspublishing.com/ContIss.asp?IssID=1751

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