Biography

Prof. Eisa Mahmoudi

Department of Statistics

Yazd University

Professor

Email: [email protected]


Qualifications

2001 PhD., Statistics, Shiraz University, Iran

1999 M.S, Statistics, Shiraz University, Iran

1995 B.S, Statistics, Shiraz University, Iran


Research Interests

Sequential Estimation

Financial Mathematics

Data Science


Publications (Selected


  1. Salemian, H., Mahmoudi, E., Alamri, O.A. (2026). An efficient Horvitz-Thompson type estimator for two sensitive means using a three-stage quantitative randomized response under complex sampling. Axioms.
  2. Shah, S., Mahmoudi, E., Iftikhar, H., Rodrigues, P.C., Medina, R.I.G., López-Gonzales, J.L. (2026). A new class of median estimators using auxiliary information under PPS sampling: Theoretical properties and empirical evaluation. Computational Statistics.
  3. Salemian, H., Mahmoudi, E., Alamri, O.A., Shabbir, J. (2025). Novel randomized response method for mean estimation using exponential estimators. Communications in Statistics - Theory and Methods.
  4. Shah, S., Mahmoudi, E., Iftikhar, H., Rodrigues, P.C., Medina, R.I.G., López-Gonzales, J.L. (2025). A novel family of CDF estimators under PPS sampling: Computational, theoretical, and applied perspectives. Axioms, 14(11), 796.
  5. Estabraqi, J., Mahmoudi, E., Nadeb, H. (2025). Jackknife and transformed jackknife empirical likelihood inferences for the lifetime performance index with missing data. Mathematical Methods of Statistics, 34(2), 136–161.
  6. Estabraqi, J., Mahmoudi, E., Nadeb, H. (2024). Jackknife empirical likelihood inference for the lifetime performance index. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610918.2024.2443217
  7. Salemian, H., Mahmoudi, E., Alamri, O.A., Shabbir, J. (2024). Improving a novel quantitative randomized response method using auxiliary variable information. Heliyon, 10(22), 318.
  8. Mahmoodi, F., Andishgar, A., Mahmoudi, E., Monsef, A., Bazmi, S., Tabrizi, R. (2024). Predicting symptomatic kidney stones using machine learning algorithms: insights from the Fasa adults cohort study (FACS). BMC Research Notes, 17(1), 318.
  9. Mahmoudi, E., Nemati, Z., Khalifeh, A. (2023). Two-stage estimation of the combination of location and scale parameter of the exponential distribution under the constraint of bounded risk per unit cost index. Sequential Analysis, 42(3), 211–227.
  10. Rostami, A., Mahmoudi, E. (2023). Modeling zero-inflated and zero-deflated count data time series using the INMA(1) process. Journal of Statistical Modelling: Theory and Applications, 4(1), 45–58.
  11. Mahmoudi, E., Meshkat, R.S., Torabi, H. (2022). Copula-based reliability for weighted k-out of-n systems having randomly chosen components of different types. IEEE Transactions on Reliability, 71(2), 630–639.
  12. Ahmad, Z., Mahmoudi, E., Hamedani, G.G. (2022). A class of claim distributions: Properties, characterizations and applications to the insurance claim data. Communications in Statistics - Theory and Methods, 51(7), 2183–2208.
  13. Ahmad, Z., Mahmoudi, E., Roozegar, R., Alizadeh, M., Afify, A.Z. (2021). The exponential T-X family of distributions: Properties and an application to insurance data. Journal of Mathematics, Article ID 3058170.
  14. Mahmoudi, E., Rostami, A. (2020). First-order integer-valued moving average process with power series innovations. Journal of Statistical Theory and Applications, 19(3), 415–431.
  15. Mahmoudi, E., Khalifeh, H., Nekoukhou, V. (2019). Minimum risk sequential point estimation of the stress-strength reliability parameter for exponential distribution. Sequential Analysis: Design Methods and Applications, 38(3), 279–300.



Profile Details

https://scholar.google.com/citations?user=PqfOUZIAAAAJ

https://www.researchgate.net/profile/Eisa-Mahmoudi


WOS ResearcherID:AAI-3698-2021

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