Lecturer, Dar Es Salaam University College Of Education
Education:
Linköping University. Ph. D in Mathematical Statistics (2020).
Teaching:
Mathematical Statistics
Advanced Mathematical Statistics
Survival Analysis
Research:
Multivariate statistics
survival analysis
Linear models
Supervised classification techniques
Time series analysis
Projects:
The Effect of Construction of Word Problems on Students’ Performance in Primary Schools. DUCE-22034
Data Driven Analysis for Energy Theft Detection in Power Grid Systems
Publications:
Ngailo, E. K., and I. Ngaruye (2022). Asymptotic results for expected probability of misclassifications in linear discriminant analysis with repeated measurements. Journal of Communications in Statistics-Theory and Methods. DOI: 10.1080/03610926.2022.2116286
Ngailo, E. K., and F. Chuma. (2022). Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements. Journal of Communications in Statistics-Theory and Methods. https://doi.org/10.1080/03610926.2022062605
Ngailo, E.K., von Rosen, D., and M. Singull.(2021). Asymptotic Approximation of misclassification probabilities in linear discriminant analysis with repeated measurements. Journal of Acta et Commentationes Universitatis Tartuensis de Mathematicahttps://doi.org/10.12697/acum.2021.25.05
F. Javed, S. Mazur. and E. Ngailo. (2020). Higher order moments of the estimated tangency portfolio weights. Journal of Applied Statistics, https://doi.org/10.1080/02664763.2020.1736523
T. Bodnar, S. Mazur, E. Ngailo. and N. Parolya. (2019). Discriminant analysis in small and large dimensions. Journal of Theory of Probability and Mathematical Statistics, 1 (100): 24-42.
Ngailo, E., Massawe. E. S., and Luvanda, E. (2014). Time series modelling with application to Tanzania inflation rate data, Journal of Data Analysis and Information Processing, 2: 49 - 59. DOI:10.4236/jdaip.2014.22007
Ngailo, E. K. (2020). Contributions to linear discriminant analysis with applications to growth curves. PhD Thesis, Linkoping University, Sweden. DOI: https://doi.org/10.3384/diss.diva-165558