Prof. Javid Shabbir

University of Wah, Pakistan

Professor

Email: [email protected]

Qualifications

1998 PhD., Statistics, Kent University at Canterbury, UK

1994 MS., Social Statistics, University of Southampton, UK

1988 MSc., Statistics, Islamia University Bahawalpur, Pakistan

Publications (Selected)

1. Al-Essa, L. A., Shabbir, J., & Khan, Z. (2026). Estimation of finite population variance under post-stratified randomized response technique. Ain Shams Engineering Journal, 17(6), Article 104132.
2. Rashedi, K. A., Alshammari, T. S., Alshammari, K. M. K., et al. (2026). Sparse regression and explainable modeling of in vitro dry matter digestibility using near-infrared spectra. Chemometrics and Intelligent Laboratory Systems, 272, Article 105677.
3. Salemian, H., Mahmoudi, E., & Shabbir, J. (2026). Novel randomized response method for mean estimation using exponential estimators. Communications in Statistics - Theory and Methods, 55(14), 4506–4524.
4. Alam, S., Shabbir, J., & Akhtar, S. (2025). A new scrambled randomized response model for quantitative sensitive variables. Communications in Statistics - Simulation and Computation. Advance online publication.
5. Khan, Z., Al-Essa, L. A., Al Duais, F. S., et al. (2025). An application of modified systematic sampling in auto-correlated populations. Kuwait Journal of Science, 52(3), Article 100404.
6. Rashedi, K. A., Abdulrahman, A. T., Alshammari, T. S., et al. (2025). Robust Särndal-Type Mean Estimators with Re-Descending Coefficients. Axioms, 14(4), Article 261.
7. Alam, S., Shabbir, J., & Nadeem, M. (2025). On use of adaptive cluster sampling for variance estimation. Journal of Applied Statistics, 52(12), 2291–2305.
8. Shabbir, J., & Movaheedi, Z. (2024). Use of generalized randomized response model for enhancement of finite population variance: A simulation approach. PLOS ONE, 19(12), Article e0315658.
9. Narjis, G., & Shabbir, J. (2024). A comparative analysis of proposed quantitative randomized response model. Communications in Statistics - Theory and Methods. Advance online publication.
10. Shabbir, J., & Gupta, S. (2024). On use of subsampling of the non-respondents for estimation of distribution function. Scientia Iranica, 31(18), 1625–1637.
11. Rehman, S. A., Al-Essa, L. A., Shabbir, J., et al. (2024). On the efficiency of paired ranked set sampling for estimating the population mean in the presence of non-response. Scientific Reports, 14(1), Article 25334.
12. Narjis, G., & Shabbir, J. (2026). Mean and sensitivity estimation using optional scrambled randomized response technique. Communications in Statistics - Simulation and Computation, 55(2), 519–529.
13. Ahmed, S., Albalawi, O., & Shabbir, J. (2024). On indirect estimation of small area parameters under ranked set sampling. Alexandria Engineering Journal, 107, 690–697.
14. Shabbir, J., & Gupta, S. (2025). Estimation of sensitive trait proportion using Kuk's randomized response model with auxiliary information. Communications in Statistics - Theory and Methods, 54(11), 3407–3417.
15. Onyango, R., Mohd, K., Shabbir, J., et al. (2024). Estimation of finite population mean of a sensitive variable using three-stage optional RRT in the presence of non-response and measurement errors. Journal of Statistical Computation and Simulation, 94(13), 2916–2931.
16. Rehman, S. A., Shabbir, J., & Al-essa, L. A. (2024). On the development of survey methods for novel mean imputation and its application to abalone data. Heliyon, 10(11), Article e31423.
17. Ur Rehman, A., Shabbir, J., Munir, T., et al. (2024). Ameliorating the diagnostic power of combined shewhart-memory-type control chart strategies for mean. Journal of Statistical Computation and Simulation, 94(11), 2564–2595.
18. Masood, S., Ibrar, B., Shabbir, J., et al. (2024). Estimating neutrosophic finite median employing robust measures of the auxiliary variable. Scientific Reports, 14(1), Article 10255.
19. Ahmad, S., Adichwal, N. K., Aamir, M., et al. (2024). An enhanced estimator of finite population variance using two auxiliary variables under simple random sampling (vol 13, 21444, 2023). Scientific Reports, 14(1), Article 7789.
20. Ullah, A., Shabbir, J., Alomair, A. M., et al. (2024). Compromise optimum allocation in neutrosophic multi-character survey under stratified random sampling using neutrosophic fuzzy programming. Heliyon, 10(7), Article e28327.

Profile Details
https://www.uow.edu.pk/Views/faculties/View2?ID=10522&FID=10748&InstID=7&dept=12
https://scholar.google.com/citations?user=vyG9blMAAAAJ&hl=en
https://www.researchgate.net/profile/Javid-Shabbir

WOS ResearcherID: N-9598-2013