
- Full Name: Dawit Yeshiwas Mekuria
- Academic Rank: Lecturer(Statistics)
- Institutional email: dawit_yeshiwas@dmu.edu.et
- Researcher ID:
ORCID address::https://orcid.org/0000-0001-5339-3133
WoS: Researcher ID: AAX-3428-2020
- Specialization: MSc in Statistics(Applied Statistics)
- Courses taught: I have taught a lot of courses to undergraduate statistics students, including but not limited to ;Basic Statistics, Probability theory, Statistical theory of distributions, Statistical computing, and Regression analysis.
- Achievements and awards:
- Research interest: My research interests are doing on Hypothesis testing,Time series analysis,Econometric Analysis,Survival and longitudinal Data analysis and Multivariate data analysis using classical statistical analysis techniques and machine learning techniques
- List of Publications:
- Berelie, Y., Yeshiwas, D., Yismaw, L. et al. Determinants of institutional delivery service utilization in Ethiopia: a population based cross sectional study. BMC Public Health 20, 1077 (2020). https://doi.org/10.1186/s12889-020-09125-2
- DawitYeshiwas, YebelayBerelie,”Forecasting the Covolatility of Coffee Arabica and Crude Oil Prices: A Multivariate GARCH Approach with HighFrequency Data”, Journal of Probability and Statistics, vol. 2020, Article ID 1424020, 10 pages, 2020.DOI:https://doi.org/10.1155/2020/1424020
- Gebrie YF, Dessie TM, Yeshiwas D (2022) Incidence and Predictors of Pregnancy among HIV Positive Women on ART in North West Ethiopia, a Retrospective Cohort Study. J Infect Dis Epidemiol 8:272. DOI:doi.org/10.23937/2474-3658/1510272
- Dawit Yeshiwas (2022) Time Series Analysis and Forecasting of Covid-19 Number of Daily Cases and Deaths in Ethiopia Using Autoregressive Moving Average models , Coke Journal of science and Technology DOI:https://doi.org/10.20372/cjst-9810
- Research and project information (completed and ongoing): I have participated in a holistic project proposal development and have worked a lot of research works funded by Debre Markos University. Some of these are:
- MSc and/or PhD students advised (ongoing and Graduated):
