Prof. Amjad D. Al-Nasser

Professor

Prof. Amjad D. Al-Nasser, Dean of the Faculty of Science at Yarmouk University, has been a faculty member since 2001. Throughout his tenure, he has held various administrative positions, including Head of the Department of Statistics, Assistant Dean for Quality Assurance, Vice Dean, and Vice Dean for Research and Graduate Studies. In 2010, he worked at Dubai University, and in February 2016, he joined Al Falah University in Dubai, UAE, where he served as Director of Quality Assurance and Institutional Effectiveness, later advancing to Vice President for Academic Affairs.

Prof. Al-Nasser earned his Ph.D. in Applied Statistics from the National University of Malaysia, one of the country's top five research universities. In 2015, it was ranked 312th globally by QS World University Rankings and 56th in the QS Top 500 Asian University Rankings.

His research interests include Generalized Maximum Entropy, Customer Satisfaction Index, Measurement Error Models, Data Envelopment Analysis, Ranked Set Sampling, and Acceptance Sampling Plans. His work has been published in reputable journals such as the Journal of Applied Statistics, Journal of Nonparametric Statistics, Communications in Statistics: Simulation and Computation, Journal of Statistical Computation and Simulation, Journal of Statistical Theory and Practice, and many others. Additionally, he is the founding editor of the Electronic Journal of Applied Statistical Analysis (EJASA). http://siba-ese.unisalento.it/index.php/ejasa/“.

Education

Ph.D. - Applied Statistics

National University of Malaysia - Malaysia

M.Sc. – Mathematical Statistics

Yarmouk University - Irbid, Jordan

B.Sc. – Statistics

Yarmouk University - Irbid, Jordan

Areas of Teaching Expertise

Applied Statistics

Regression Analysis

Statistical Computing

Research Methods

Data Analysis and Experimental Design

Statistical Quality Control

Recent Publications (2023/2024)

1.     Alzubai, S., Al-Nasser, A.D. (2024). Fitting Big Data Using Structural Measurement Error Model. In: Burqan, A., et al. Mathematical Analysis and Numerical Methods. IACMC 2023. Springer Proceedings in Mathematics & Statistics, vol 466. Springer, Singapore. https://doi.org/10.1007/978-981-97-4876-1_30

2.     Al-Hakim Majdalawi, A., Al-Nasser, A.D. (2024). Fitting Regression Models When Both Variables Are Subject to Non-normal Error Terms. In: Burqan, A., et al. Mathematical Analysis and Numerical Methods. IACMC 2023. Springer Proceedings in Mathematics & Statistics, vol 466. Springer, Singapore. https://doi.org/10.1007/978-981-97-4876-1_13

3.     Al-Zoubaidi, M., Al-Nasser, A.D. (2024). Entropy-Based Weighted Exponential Regression. In: Burqan, A., et al. Mathematical Analysis and Numerical Methods. IACMC 2023. Springer Proceedings in Mathematics & Statistics, vol 466. Springer, Singapore. https://doi.org/10.1007/978-981-97-4876-1_8

4.     Al Dibi’i, R., Abdul Rahman, R., & Al-Nasser, A. (2024). Weighted Grouping Estimation Method for Fitting Multiple Structural Regression Model when all Variables are Subject to Errors. Pakistan Journal of Statistics and Operation Research, 20(3), 471-488. https://doi.org/10.18187/pjsor.v20i3.4483

5.     Al Dibi’i, R., Abdul Rahman, R., & Al-Nasser, A. (2024). Fitting data to a multiple structural measurement errors model. Communications in Statistics - Simulation and Computation, 1–18. https://doi.org/10.1080/03610918.2024.2369802

6.     AL Dibi'i, R., Abdul Rahman, R., & Al-Nasser, A. (2023). New Wald-Type Estimation Procedures for fitting Structural Measurement Error Model. Electronic Journal of Applied Statistical Analysis, 16(2), 487 - 506. doi:10.1285/i20705948v16n2p487

7.     Al-Talib, M., Al-Nasser, A., Al-Juneidi, B., & Ince, N. (2023). Theory and Optimization of Generalized Maximum Intuitionistic Fuzzy Entropy Methods. Electronic Journal of Applied Statistical Analysis, 16(2), 294 - 310. doi:10.1285/i20705948v16n2p294

8.     Al-Nasser, A., & Hanandeh, A. (2023). Stochastic Generator of a New Family of Lifetime Distributions with Illustration: Accepted - March 2023. REVSTAT-Statistical Journal. Retrieved from https://revstat.ine.pt/index.php/REVSTAT/article/view/469

9.     Al-Talib, M., Al-Nasser, A., & Ciavolino, E. (2023). GOLD DISTRIBUTION Another Look on the Generalization of Lindley Distribution. Pakistan Journal of Statistics and Operation Research, 19(2), 241-256. https://doi.org/10.18187/pjsor.v19i2.3255.

10.  Al-Nasser, A. Aymen Al Rawashdeh, Andalib Talal. (2022). On Using Shannon Entropy Measure for Formulating New Weighted Exponential Distribution. Journal of Taibah University for Science, 16 (1), 1035-1047.