Dr. Simon Mbala

Dr. Simon Mbala

Dr. Simon Mbala
Examination and Timetabling Coordinator

School: Science and computing
Department: Mathematics and Actuarial Sciences
Primary Discipline: Statistics


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Degrees Awarded:

  • Doctor of Philosophy in Mathematical Statistics
  • Master of Science in Statistics
  • Bachelor of Education (Mathematics and Economics)

Other Credentials/Recognitions & Awards:

Current Professional/Scientific Interests, Memberships, and Activities:

  • Educational Research
  • Data analysis and Report writing
  • Training of Statistics software’s
  • 2024: Attended training on Statistical Data analysis Using Spss, Stata and R GUI organized by Sdatacare and Capacity Building.
  • 2023: Attended training on Research, Data analysis and report writing organized by Sdatacare and Capacity Building.
  • 2020: Attended training on Statistical Computer Packages and data analysis organized by ICES.
  • 2012: Attended training on ICT integration in education, at Kitui Multipurpose, organized by the Ministry of Education.
  • 2011: Attended training on gender issues in education at Kitui Multipurpose hall organized by the Ministry of Education.
  • 2009: Trained on data analysis using SPSS by Braides School of Business
  • 2006: Attended a training on research, at KICD organized by the University of Nairobi.

Research, Scholarly, Professional and Scientific Activities

  1. Simon Mbala, M.M.Manene and J.A.M Ottieno: Symmetric Stratified Truth Detection Models ; Far East Journal of Theoretical Statistics, Volume 58, Number 2, 2020, Pages 77-89.
  2. Simon Mbala, M.M.Manene and J.A.M Ottieno: Symmetric Truth Detection Model: A randomized response approach; International Journal of Statistics and Applied Mathematics 2019; 4(4): 50-55
  3. Simon Mbala, M.M.Manene and J.A.M Ottieno Validation of Symmetric Truth Detection Models Using Examination Dishonesty Research; International Journal of Mathematics And its Applications (IJMAA).2020, Vol 8(4) pages 49-53.
  4. Simon Mbala, M.M.Manene and J.A.M Ottieno Examination dishonesty research using symmetric questioning technique; International Journal of Mathematical Analysis. (Accepted, awaiting publication).
  5. Simon Mbala, Theoretical comparison of symmetric and asymmetric truth detection models; Advances and applications in statistics, 2020 (manuscript sent).

Contacts:

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Contacts: +254722565839

School of Science and Computing

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