العربية
Dr Mahmoud Abumoussa
Biography
Dr. Mahmoud Hamed is an academic specializing in mathematical statistics, reliability modeling, lifetime data analysis, and censoring models. He earned his B.Sc., M.Sc., and Ph.D. degrees in Mathematical Statistics from Cairo University. He has taught at several colleges and universities in Egypt, delivering courses in statistics, probability, statistical inference, and applied reliability analysis, and has contributed to multiple research activities in his field. He is currently an Assistant Professor at the College of Education and Arts, Sohar University, Sultanate of Oman.
Qualification
- Ph.D. in Mathematics specially in mathematical statistics, Cairo University, Egypt, 2019.
- M.Sc. In Mathematical Statistics, Cairo University, Egypt, 2014.
- B.Sc. in Mathematics and Computer Science, Cairo University, Egypt, 2008.
Teaching Interest
Mathematics, Statistics.
Research Interest
Mathematical statistics, reliability theory, competing risks models, progressive and hybrid censoring schemes, Bayesian inference, and accelerated life testing.
Publications
- Mosilhy, M. A., Aljeddani, S. M. A., & Abu Moussa, M. H. (2025). Estimation of discrete mixed Poisson Erlang distribution with applications to medical data. PLoS ONE, 20(9), e0331472.
- El Azeem, S. O. A., Diab, L. S., & Abu Moussa, M. H. (2025). On the Optimal Constant Stress Acceleration Based on Competing Risks with Progressive Type II Censoring for Lindley Distribution. Malaysian Journal of Mathematical Sciences, 19(1), 99–123.
- Nagy, M., Mosilhy, M. A., Mansi, A. H., & Abu Moussa, M. H. (2024). An analysis of type I generalized progressive hybrid censoring for the one parameter logistic geometry lifetime distribution with applications. Axioms, 13(10), 692.
- Hassan, A. S., Mousa, R. M., & Abu Moussa, M. H. (2024). Bayesian analysis of generalized inverted exponential distribution based on generalized progressive hybrid censoring competing risks data. Annals of Data Science, 11(4), 1225–1264.
- El Azeem, S. O. A., Abu Moussa, M. H., El Din, M. M. M., & Diab, L. S. (2024). On step stress partially accelerated life testing with competing risks under progressive Type II censoring. Annals of Data Science, 11(3), 909–930.
- Hassan, A. S., Maiti, S., Mousa, R., Alsadat, N., & Abu Moussa, M. (2024). Analysis of competing risks model using the generalized progressive hybrid censored data from the generalized Lomax distribution. AIMS Mathematics, 9(12).
- Alsadat, N., Abu Moussa, M. H., & Sharawy, A. M. (2024). On the study of the recurrence relations and characterizations based on progressive first failure censoring. AIMS Mathematics, 9(1), 481–494.
- Abu Moussa, M. H., Alsadat, N., & Sharawy, A. (2023). On estimation of reliability functions for the extended Rayleigh distribution under progressive first failure censoring model. Axioms, 12(7), 680.
- Mohie El Din, M. M., Sharawy, A., & Abu Moussa, M. H. (2023). E Bayesian estimation for the parameters and hazard function of Gompertz distribution based on progressively Type II right censoring with application. Quality and Reliability Engineering International, 39(4), 1299–1317.
- Hassan, A. S., Mousa, R. M., & Abu Moussa, M. H. (2022). Analysis of progressive Type II competing risks data, with applications. Lobachevskii Journal of Mathematics, 43(9), 2479–2492.
- Nagy, M., Abu Moussa, M. H., Alrasheedi, A. F., & Rabie, A. (2022). Expected Bayesian estimation for exponential model based on simple step stress with Type I hybrid censored data. Mathematical Biosciences and Engineering, 19(10), 9773–9791.