Dr. Edward Kanuti Ngailo is a Lecturer in the Department of Physics, Mathematics and Informatics within the Faculty of Science at DUCE (Dar es Salaam University College of Education) a constituent college of the University of Dar es Salaam (UDSM), Tanzania. He holds a PhD in Mathematical Statistics from Linköping University (Sweden), a Licentiate Degree in Mathematical Statistics from Stockholm University (Sweden), and specializes in multivariate statistical analysis. His educational background includes an MSc in Mathematical Modeling and a BEd. Sc. all from the University of Dar es Salaam, Tanzania. His teaching areas encompass Mathematical Statistics, Linear Models, and Machine learning courses. His research focuses on statistical methodologies for classification, repeated measurements, multilevel models with application to educational data, and data-driven applications in energy systems and public health.
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The Effect of Construction of Word Problems on Student’s Performance in Primary Schools(2023–Completed, Principal Investigator). Funding: UDSM Competitive Research and Innovation Grants 2022. Collaborators: Dr. Janeth Kalinga, Dr. Fanuel Lemma (Completed)
Data Driven Analysis for Energy Theft Detection in Power Grids(2022. Co-PI)
Collaborators: Dr. Elimboto Yohana, and Dr. Diana Rwegasira. Funding: UDSM Competitive Research and Innovation Grants 2022. On going
1.Enhancing energy consumption modeling with a shifted-mode Lomax regression for non-zero peaks
E Ngailo, D Rwegasira, EM Elimboto Yohana
Journal of Electrical Systems and Information Technology 12, 1-26
2.Modeling and forecasting wholesale gasoline prices in Tanzania using ARIMA and neural network autoregressive models;TD Sagamiko, EK Ngailo,Tanzania Journal of Science 51 (4), 14
3.Time series analysis of energy usage patterns by Tanzania large power users;D Rwegasira, E Ngailo, E Yohana, N Masasi
Journal of Electrical Systems and Information Technology 12 (1), 60
FM Chuma, EK Ngailo, ZS Mussa; Tanzania Journal of Science 51 (4), 12
5. Chuma, F.M., & Ngailo, E.K.(2024). Mathematical analysis of Campylobacteriosis disease model in human with saturated incidence rate and treatment.
6. Ngailo, E.K., & Nadarajah, S.(2023). Classification of Repeated measurements using bias corrected Euclidean distance function. Journal of the Korean Statistical Society. https://doi.org/10.1007/s42952-023-00246-z
7. Ngailo, E.K., & Chuma, F.(2022). Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements. Journal of Communications in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2022.2062605
8. Ngailo, E.K., & Ngaruye, I.(2022). Asymptotic results for expected probability misclassifications in linear discriminant analysis with repeated measurements. Journal of Communications in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2022.2116286
9. Ngailo, E.K., von Rosen, D., & Singull, M. (2021). Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements. Acta et Commentationes Universitatis Tartuensis de Mathematica. https://doi.org/10.12697/acum.2021.2505
10. T. Bodnar, S. Mazur, Ngailo, E., & N. Parolya (2019). Discriminant analysis in small and large dimensions. Theory of Probability and Mathematical Statistics, 100: 24–42. https://doi.org/10.1090/tpms/1096