Publications

 I have 19 published research papers, 04 papers accepted, 01 papers under review and 01 to be submitted in the area of Sampling and Applied Statistics.

Year- 2023

1. Meche, B., Poruri, V., Gupta, S. and Khalil, S. (2023). "The Effect of Measurement Error on Binary RRT Models" REVSTAT Statistical Journal (to be submitted)

2. Parker, M., Khalil, S., and Gupta, S. (2023) “A Mixture Quantitative Randomized Response Model for Improved Respondent Trust” Communications in Statistics Part B: Simulation and Computation. (Under Review) 

3. McCance, W., Gupta, S., Khalil, S. and Shou, W. (2023) “Binary Randomized Response Technique (RRT) Models Under Measurement Error” Communications in Statistics Part B: Simulation and Computation. (Accepted) 

Year- 2022

4. Fakhar, H., Khalil, S. (2022). “Improved Mean Estimation of Sensitive Study Variable Under Two Phase Sampling with Subsampling the Non-Respondents " Journal of Interdisciplinary Mathematics. (Accepted) 

5. Shuja, U., Khalil, S., Gupta, S. (2022). “Mean Estimation Using Scrambled Responses with the Impact of Measurement Errors in Two-Phase Sampling” Journal of Interdisciplinary Mathematics. 25(6), 1675-1695. 

6. Gupta, S., Zhang, J., Khalil, S. and Sapra, P (2022) “Mitigating Lack of Trust in Quantitative Randomized Response Techniques Models”, Communications in Statistics part B: Simulation and Computation. https://doi.org/10.1080/03610918.2022.2082477

7. Aloraini, B., Khalil, S., Qureshi, N., and Gupta, S., (2022) “Estimation of Population Variance for a Sensitive variable in Stratified Sampling using Randomized Response Technique”, REVSTAT Statistical Journal. 

https://revstat.ine.pt/index.php/REVSTAT/article/view/508 

8. D. Irum., Afzal, M., Khalil, S., Shamim., M., (2022) “Comparison of Shrinkage and Feature Selection Methods for Modeling GDP of Pakistan”, Journal of Statistics and Management Systems. 25(4), 957-969.

9. Sapra, P., Khalil, S. & Gupta, S. (2022). “Accounting for Lack of Trust in Optional Binary RRT Models Using a Unified Measure of Privacy and Efficiency”. Journal of Statistical Theory and Practice 16(51) https://doi.org/10.1007/s42519-022-00279-3

Year- 2021

10. Gupta, S., Aloraini, B., Qureshi, N., and Khalil, S. (2021) “Estimation of Population Variance Using Optional Randomized Response Technique Model in the Presence of Measurement Errors” Communications in Statistics part B: Simulation and Computation, (Accepted) 

11. Zhang, Q., Khalil, S., Gupta, S. (2021). “Mean Estimation in the Simultaneous Presence of Measurement Errors and Non-response using Optional RRT Models under Stratified Sampling”. Journal of Statistical Computation and Simulation. 91(17), 3492-3504.

12. Khalil, S., Zhang, Q and Gupta, S. (2021) “Mean Estimation of Sensitive Variables under Measurement Errors using Optional RRT Models” Communications in Statistics part B: Simulation and Computation. 50 (5), 1417-1426. 

13. Lovig, M., Khalil, S., Rahman, S., Sapra, P and Gupta, S. (2021)” A Mixture Binary RRT Model with a Unified Measure of Privacy and Efficiency” Communications in Statistics part B: Simulation and Computation. 52(6), 2727-2737.

14. Zhang, Q., Khalil, S., and Gupta, S. (2021) “Mean Estimation of Sensitive Variables  under Non-response and Measurement Errors using Optional RRT Models”. Journal of  Statistical Theory and Practice. 15(3). https://doi.org/10.1007/s42519-020-00135-2 

15. Aloraini, B., Khalil, S., Qureshi, N., and Gupta, S. (2021) “Variance Estimation Using an Optional Randomized Response Technique”, Journal of Interdisciplinary Mathematics   (Accepted) 

Year- 2020

16. Gupta, S., Aloraini, B., Qureshi, N., and Khalil, S. (2020) “Variance Estimation Using Randomized Response Technique”, REVSTAT Statistical Journal, 18(2), 165-176. 

Year- 2019

17. Khalil, S., Noor-ul-Amin, M. and Hanif, M. (2019) “Generalized Estimator of Population Mean by using Conventional and Non-Conventional Measures in the Presence of Measurement Errors” Communications in Statistics part B: Simulation and Computation. 48(2), 516-529. 

18. Khalil, S., Gupta, S. and Hanif, M. (2019) “Estimation of finite Population Mean in Stratified Sampling using Scrambled Responses in the Presence of Measurement Errors” Communications in Statistics - Theory and Methods 48(6), 1553-1561. 

19. Zhang, Q., Gupta, S., Kalucha, G., and Khalil, S. (2019) “Ratio Estimation of the Mean under RRT Models” Journal of Statistics and Management Systems. 22(1), 97-113. 

Year- 2018

20. Qureshi, N., Khalil, S., Chao, C.-T and Hanif, M. (2018) “Estimation of Rare and Clustered Population Variance in Adaptive Cluster Sampling” Communications in Statistics – Theory and Methods. 48(21), 5387-5400

21. Khalil, S., Gupta, S. and Hanif, M. (2018) “A Generalized Estimator for Finite Population Mean in the Presence of Measurement Errors in Stratified Random Sampling” Journal of Statistical Theory and Practice, 12(2), 311-324. 

22. Gupta, S., Mehta, S., Shabbir, J. and Khalil, S. (2018) “A Unified Measure of Respondent Privacy and Model Efficiency in Quantitative RRT Models” Journal of Statistical Theory and Practice. 12(3), 506-511. 

23. Khalil, S., Noor-ul-Amin, M. and Hanif, M. (2018) “Estimation of Population Mean for a Sensitive Variable in the Presence of Measurement Error” Journal of Statistics and Management Systems. 21(1), 81-91. 

24. Qureshi, N., Khalil, S. and Hanif, M. (2018) “Generalized Semi Exponential Type Estimator under Systematic Sampling” Journal of Statistical Theory and Applications. 17(2), 283-290. 

25. Qureshi, N., Khalil, S. and Hanif, M. (2018) “Joint Influence of Exponential Ratio and Exponential Product Estimator for the Estimation Clustered Population Mean in Adaptive Cluster Sampling” Advances and Applications in Statistics, 53(1), 13-28. 

Ph.D. Thesis Title:

 Generalized Mean Estimators for Sensitive and Non-Sensitive Variables in the Presence of Measurement Errors. http://prr.hec.gov.pk/jspui/handle/123456789/11103 Published in Pakistan Research Repository (PRR) 

Brief Statement of Research Interest: 

My main research interest lies in the area of survey sampling. I wrote my Ph.D. Dissertation on this topic. Specifically, I am interested in developing new RRT models in estimating prevalence of sensitive behaviors in society, both in the binary and quantitative domains, that account for lack of trust in the RRT methodology and also account for measurement errors and non-response. RRT models have been used extensively in real-life situations in many countries, and I would like to replicate that effort to estimate some such sensitive behaviors among students so that proper interventions can be considered. This is an important issue because we usually concentrate more on theory and less on real applications of that theory. 

I continue to collaborate with my PhD advisor Dr. Sat Gupta and his PhDs students at UNC Greensboro.  I also collaborate with undergraduate researchers at UNC Greensboro as part of the NSF funded REU program