Mr. Michael Kirumbu Profile

Master of Science In Biometry

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Mr. Michael Kirumbu

Master of Science In Biometry

Daystar University

3

Publications

1

Activities

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Name: Mr. Michael Kirumbu
Mobile: +254 709 972 000
E-mail: mkirumbu@daystar.ac.ke
Website: None
Updated: 30 Sep, 2024
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About

I have been a lecturer of statistics and mathematics within and outside Daystar University since 2005.

In leadership and administration, I am currently the coordinator of statistics courses of Daystar University. In the year 2005 I was appointed Head of Department (on acting capacity) at Kiriri Women’s University and Technology where I served for three years.

In the year 2016/2017 I was awarded certificate and a trophy of being the best lecturer in School of Sciences, Engineering and Health.

As a way serving and giving back to the community, I am a chairman, Board of Management of Rugogwe Mixed Ssecondary School

Academic Qualification

Master of Science (In Biometry) 2004 University  of Nairobi
Bachelor of Science 1999 University of Nairobi 
Teaches
  • Time series Analysis,
  • Research methods, 
  • Biostatics 
  • Introduction to probability and statistics
  • Test of hypothesis
  • Ordinally differential equations
  • Basic Mathematics for communication
Relevant Links
Publications
J
Journals

Ntwiga, D., Ogutu, C., Weke, P., and Kirumbu, M. (2018). A hidden Markov model of risk classification among the low income earners. Journal of Finance and Economics, 6 (6): 242-24
Published2018
Link:

Ntwiga, D., Weke, P., and Kirumbu, M. (2016). Trust model for social network using singular value decomposition. Interdisciplinary Description of Complex Systems, 14 (3), 296-302
Published2016
Link:

Developed BSc mathematics for daystar University (2010) with for concentrations; Statistics, Financial Mathematics, Pure and Applied Mathematics
Published2010
Link:

Activities
C
Conferences

Published2018

Ntwiga, D., Ogutu, C. and Kirumbu, M. (2018). Inclusion of peer group and individual low-income earners in M-Shwari micro-credit lending: a hidden Markov model approach. International Journal of Electronic Finance, 9(2): 121-133

Research Interests

Forest Survival analysis 

Study at Daystar