Statistics Department

 

Research Publications

2025

  1. Sharma, P., Lata, A., Yadav, S. K., & Noor-ul-Amin, M. (2025). Family of Estimators for Estimating Population Median using Auxiliary Information in Survey Sampling. Journal of Reliability and Statistical Studies, pp. 343–370.
  2. Aslam, M. U., Xu, S., Rasheed, Z., Noor-ul-Amin, M., Hussain, S., & Waqas, M. (2025). Improved fuzzy control charts for monitoring defined health ranges using trapezoidal fuzzy numbers. Expert Systems with Applications, 278, 127310.
  3. Kazmi, M. W., & Noor-ul-Amin, M. (2025). Integrating machine learning based EWMA control charts for multivariate process monitoring. Computers & Industrial Engineering, 204, 111131.
  4. Noor-ul-Amin, M., Zahid, R., Emam, W., Yasmeen, U., & Khan, I. (2025). Estimation of mean with EEWMA statistic under ranked based sampling. Communications in Statistics – Simulation and Computation, pp. 1–28.
  5. Shabbir, N., Noor-ul-Amin, M., & Hanif, M. (2025). Dynamic Sample Size Based EWMA Control Chart Using Piecewise Linear Function. Quality and Reliability Engineering International.
  6. Abbasi, A. R., Ahmadini, A. A. H., Alatrash, M. I., Noor-ul-Amin, M., & Rahimi, J. (2025). Conditional expected approach based monitoring of mean of type-I censored Weibull lifetimes. Scientific Reports, 15(1), 6884.
  7. Abbasi, A. R., & Noor-ul-Amin, M. (2025). Adaptive sample size strategies for process dispersion using EWMA control chart. Quality and Reliability Engineering International, 41(1), 510–531.
  8. Amjad, N., Ismail, M., & Ali, Z. (2025). Advancing future drought characterization: a two-phase Bayesian model averaging approach for GCM ensemble calibration. Applied Geomatics 18:7
  9. Amjad, N., Ismail, M., & Ali, Z. (2025). Development of Kling–Gupta Hybrid Weighted Ensemble for Improving Future Projections of Drought Characterization Under Different Climate Change Scenarios. Pure and Applied Geophysics, pp. 1–20.
  10. Sajjad, M., Faizi, S., & Ismail, M. (2025). Correlation Coefficient Estimation in Intuitionistic 2-Tuple Fuzzy Linguistic Environment Using Dice and Cosine Similarity Measures. International Journal of Fuzzy Systems, pp. 1–11.
  11. Sultan, A., Faizi, S., Ismail, M., Raza, S. M. M., & Mohamud, L. A. (2025). Smart Decision Support for Employee Satisfaction: A Hesitant Fuzzy Linguistic Regression Model Applied to Tech Startups. Journal of Statistical Theory and Applications, pp. 1–21.
  12. Sajjad, M., Ismail, M., Rehman, A., & Mahmood, T. (2025). Generalized and open selection approaches for the population mean: accounting for non-response and measurement error in single-phase sampling. Journal of Statistical Theory and Applications, pp. 1–18.
  13. Ali, A., Ismail, M., & Farooq, M. (2025). Construction of a New Bivariate Mixture Lindley Power Function Distribution with Functional Shape Parameter Utilizing Non-Identical Distributions via Conditional Approach. Symmetry, 17(3), 353.
  14. Khan, H., Sanaullah, A., & Javaid, K. (2025). Modeling aerosol optical depth variability using the Topp-Leone exponentiated exponential distribution: insights from MODIS data for climate and space science in Pakistan. Theoretical and Applied Climatology, 156(11), 574.
  15. Nisa, G., Abdelwahab, M. M., Sanaullah, A., Maqsood, M., Abdelkawy, M. A., & Hasaballah, M. M. (2025). Development of an Efficient CUSUM Control Chart for Monitoring the Scale Parameter of the Inverse Maxwell Distribution in Asymmetric, Non-Normal Process Monitoring. Symmetry, 17(11), 1819.
  16. Basit, H., Abdelwahab, M. M., Bashir, S., Sanaullah, A., Abdelkawy, M. A., & Hasaballah, M. M. (2025). A Novel Poisson–Weibull Model for Stress–Strength Reliability Analysis in Industrial Systems: Bayesian and Classical Approaches. Axioms, 14(9), 653.
  17. Riaz, I., Sanaullah, A., Hasaballah, M. M., Balogun, O. S., & Bakr, M. E. (2025). A Novel Two-Parameter Estimation Technique for Handling Multicollinearity in Inverse Gaussian Regression Model. Journal of Chemometrics, 39(5), e70032.
  18. Bashir, S., Masood, B., Sanaullah, A., & Al-Essa, L. A. (2025). A novel stereographic semi-circular distribution and enhanced analysis of the posterior corneal curvature of eye. Heliyon, 11(2).
  19. Zaka, A., Alghamdi, F. M., Alshiekh, F. M. A., Jabeen, R., Minhas, K. S., Shehar, B., & Afify, A. Z. (2025). Enhanced log ratio calibration methods for stratified variance estimation in survey sampling. Scientific Reports, 15.
  20. Minhas, K. S., Semary, H. E., Jabeen, R., & Zaka, A. (2025). Multiscale study of memory type simple ratio estimators in two stage sampling under exponentially weighed moving averages. PLOS One, 20(11).
  21. Minhas, K. S., Semary, H. E., Jabeen, R., & Zaka, A. (2025). Multiscale study of memory type simple ratio estimators in two stage sampling under exponentially weighted moving averages. PLOS One, 20(11), e0335586.
  22. Minhas, K. S., Jabeen, R., Zaka, A., Aljadani, A., AlQadi, H., & AbdElrazik, E. M. (2025). Innovative memory-type calibration estimators for better survey accuracy in stratified sampling. Scientific Reports, 15.
  23. Jabeen, R., Ahmad, M., & Zaka, A. (2025). The competencies of a new bathtub model and development of control charts with the application of lifetime data. Journal of Statistical Computation and Simulation.

2024

  1. Shakila Bashir, Bushra Masood, Laila A. Al-Essa, Aamir Sanaullah, Iram Saleem. (2024). Properties, quantile regression, and application of bounded exponentiated Weibull distribution to COVID-19 data of mortality and survival rates. Scientific Reports, 14, 14353. https://doi.org/10.1038/s41598-024-65057-6. [IF=2.592] Cat-W
  2.  Amber Asghar, Aamir Sanaullah, Muhammad Hanif and Laila A. Al-Essa. (2024). Enhancing precision in population variance vector estimation: a two-phase sampling approach with multi-auxiliary information. Sains Malaysiana. 12(3), 473-484. DOI: https://doi.org/10.61506/01.00056. [IF=2.40] Cat-W
  3.  Aamir Sanaullah, Aamir Majeed Chaudhary, Muhammad Hanif and Prayas Sharma (2024). EWMA control charts based on robust estimators: a powerful tool for monitoring a process with a non-normal distribution. Journal of Computational and Applied Mathematics. 1-34. https://doi.org/10.1016/j.cam.2024.115919. [IF=2.40] Cat-W
  4.  Aamir Sanaullah, Aqsa Hussain, and Prayas Sharma. (2024). Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information. International Journal of System Assurance Engineering and Management. [IF=1.8] Cat-X
  5.  Noor-ul-Amin, M., Khan, I., Alzahrani, A.R.R. et al. (2024). Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data. Sci Rep 14, 9633. (IF=4.99)
  6. Noor-ul-Amin, M., Khan, I., Iqbal, J. et al. (2024). Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory. Sci Rep 14, 3111. (IF=4.99)
  7. Raza, A., Noor-ul-Amin, M., Ayari-Akkari, A. et al. (2024). A redescending M-estimator approach for outlier-resilient modeling. Sci Rep 14, 7131. (IF=4.99)
  8. Zahid Rasheed, Hongying Zhang, Syed Masroor Anwar, Noor-ul-Amin, M. et al. (2024). Designing efficient dispersion control charts under various ranked-set sampling approaches, Journal of Computational and Applied Mathematics, 441, 115680. (IF=2.45)
  9. Khan, I., Noor-ul-Amin, M. et al. (2024). Process dispersion monitoring: Innovative AEWMA control chart in semiconductor manufacturing. AIP Advances,  14, 015255. (IF=1.6)
  10. Jabeen.R & Zaka.A, (2024). Computational Evaluation For The Survival Times Of Patients Under Truncated Life Tests: Simulation And Application. FR1000 Research.
  11. Jabeen, R., Ahmad, M., Zaka, A., M. Mansour, M., Aljadani, A., & M. Abd Elrazik, E. (2024). A New Statistical Approach Based on the Access of Electricity Application with Some Modified Control Charts. Journal of Mathematics, 2024(1), 6584791.
  12. Nagy, M., Ahmad, M., Jabeen, R., Zaka, A., Alrasheedi, A. F., & Mansi, A. H. (2024). Evaluation of survival weighted Pareto distribution: Analytical properties and applications industrial and aeronautics data. AIP Advances, 14(4).
  13. Zaka, A., Jabeen, R., Aljohani, H. M., & Alharthi, A. S. (2024). The modified control charts for monitoring the error detection of process control under different estimators. Journal of the National Science Foundation of Sri Lanka, 52(1).
  14. Jabeen, R., Aslam, M. K., Sanaullah, A., & Zaka, A. (2024). Calibrated Estimator for Sensitive Variables under Stratified Random Sampling. Thailand Statistician, 22(2), 363-373.
  15. Ahmad, M., Jabeen, R., Zaka, A., Hamdi, W. A., & Alnssyan, B. (2024). A unified generalized family of distributions: Properties, inference, and real-life applications. AIP Advances, 14(1).
  16. Zaka, A., Jabeen, R., Ahmad, M., Aljohani, H. M., & Helmi, M. M. (2024). Control theory for skewed distribution under operation side of the telecommunication industry and hard-bake process in the semiconductor manufacturing process. Measurement and Control, 57(6), 703-723.

2023

  1.  Uzma Iqbal, Iram Saleem, Aamir Sanaullah and Muhammad Hanif. (2023). A mixture of linear and exponential function-based estimators of population mean accounting for non-response and measurement error. Pakistan Journal of Statistics, 39(4), 517-536.
  2.  Amber Asghar, Aamir Sanaullah, Azhar Mehmood Abbasi, and Muhammad Hanif. (2023). Advancing sampling techniques: multivariate ratio estimation for variance vector in two-phase sampling. Bulletin of Business and Economics. 12(3), 473-484. DOI: https://doi.org/10.61506/01.00056.
  3. Iram Saleem, Aamir Sanaullah, Laila A. Al-Essa, Shakila Bashir, and Aned Al-Mutairi. (2023). Efficient estimation of population variance of a sensitive variable using a new scrambling response model. Scientific Reports, 13, 19913. [IF=2.592] Cat-W
  4.  Mediha Maqsood, Aamir Sanaullah, Yasar Mahmood, Afrah Yahya Al-Rezami, and Manal Z. M. Abdalla. (2023). Efficient control chart-based monitoring of scale parameter for a process with heavy-tailed non-normal distribution. AIMS Mathematics. 8(12), 30075-30101. [IF=2.2] Cat-X.
  5.  Aamir Majeed Chaudhary, Aamir Sanaullah, Muhammad Hanif, Mohammed M. A. Amazah, Nafisa A. Albasheir and Fuad S. Al-Duais. (2023). Efficient monitoring of a parameter of non-normal process using a robust efficient control chart: a comparative study. Mathematics. 11(19), 4157. https://doi.org/10.3390/math11194157 [IF=2.592] Cat-W
  6. Ayesha Khalid, Aamir Sanaullah, Mohammed M. A. Almazah and Fuad S. Al-Duais. (2023). An efficient ratio-cum-exponential estimator for estimating the population distribution function in the existence of non-response using an SRS design. Mathematics. 11(6), 1312. https://doi.org/10.3390/math11061312 [IF=2.592] Cat-W
  7. Azaz Ahmed, Aamir Sanaullah, Evrim Oral and Muhammad Hanif. (2023). Robust ratio estimators of population mean for skewed and contaminated population. Journal of Statistical Computation and Simulation, 93(5), 800-817. https://doi.org/10.1080/00949655.2022.2120994. [IF=1.424] Cat-W
  8. Wang, Y., Khan, I., Noor-ul-Amin, M. et al. (2023). Monitoring of semiconductor manufacturing process on Bayesian AEWMA control chart under paired ranked set sampling schemes. Sci Rep 13, 22703. (IF=4.6)
  9. Iqbal, J., Noor-ul-Amin, M., Khan, I. et al. (2023). A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process. Sci Rep 13, 21224. (IF=4.6)
  10.  Khan, I., Noor-ul-Amin, M., Khan, D.M. et al.(2023). Monitoring the process mean under the Bayesian approach with application to hard bake process. Sci Rep 13, 20723. (IF=4.6)
  11. Khan, I., Noor-ul-Amin, M., Muhammad Khan, D. et al. (2023). Bayesian AEWMA control chart under ranked set sampling with application to reliability engineering. Sci Rep 13, 20020. (IF=4.6)
  12.  Khan, I., Noor-ul-Amin, M., Khan, D.M. et al. (2023). Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs. Sci Rep 13, 18240. (IF=4.6)
  13.  Noor-ul-Amin, M., & Atif Sarwar, M. (2023). Design of a new adaptive MEWMA chart to monitor the mean. Journal of Statistical Computation and Simulation, 93 (16), 2888-2905. (IF=1.2).
  14.  Noor-ul-Amin, M., Sarwar, M.A., Emam, W. et al.(2023). Adaptive multivariate dispersion control chart with application to bimetal thermostat data. Sci Rep 13, 18137. (IF=4.6)
  15.   Riaz, A., Noor-ul-Amin, M., Emam, W. et al. (2023). Adaptive EWMA control chart for monitoring the coefficient of variation under ranked set sampling schemes. Sci Rep 13, 17617. (IF=4.6)
  16.  Noor-ul-Amin, M., & Arshad, A. (2023). Homogeneously weighted moving average-variance control chart using auxiliary information. Communications in Statistics - Simulation and Computation, 52(10), 4891–4908. (IF=1.4)
  17.  Liu B, Noor-ul-Amin M, Khan I, Ismail EAA, Awwad FA.(2023). Integration of Bayesian Adaptive Exponentially Weighted Moving Average Control Chart and Paired Ranked-Based Sampling for Enhanced Semiconductor Manufacturing Process Monitoring. Processes. 11(10):2893. (IF=3.5)
  18.  Wang, Y., Khan, I., Noor-ul-Amin, M. et al. (2023). Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering. Sci Rep 13, 14042. (IF=4.6)
  19.  Khan, I., Noor-ul-Amin, M., Khan, D.M. et al. (2023). Adaptive EWMA control chart using Bayesian approach under ranked set sampling schemes with application to Hard Bake process. Sci Rep 13, 9463. (IF=4.6)
  20.   Javaid, A., Noor-ul-Amin, M., & Hanif, M. (2023). Performance of Max-EWMA control chart for joint monitoring of mean and variance with measurement error. Communications in Statistics - Simulation and Computation, 52(1), 1–26. (IF=1.4)
  21.  Khan, I., Noor-ul-Amin, M., Khalifa, N. T., & Arshad, A. (2023). EWMA control chart using Bayesian approach under paired ranked set sampling schemes: An application to reliability engineering. AIMS Mathematics, 8(9), 20324-20350. (IF=2.739)
  22.  Zahid, R., Noor-ul-Amin, M., Khan, I. et al.(2023). Combination of memory type ratio and product estimators under extended EWMA statistic with application to wheat production. Sci Rep 13, 13547. (IF = 4.6)
  23.  Sarwar, M.A., Noor-ul-Amin, M., Khan, I. et al. (2023). A Weibull process monitoring with AEWMA control chart: an application to breaking strength of the fibrous composite. Sci Rep 13, 19873.
  24.   Dogu, E. and Noor-ul-Amin, M. (2023). Monitoring exponentially distributed time between events data: self-starting perspective, Communications in Statistics - Simulation and Computation, 52 (3), 1104-1118. (IF = 1.16)
  25.   Aslam, I., Noor-ul-Amin, M., Hanif, M., Sharma P. (2023). Memory type ratio and product estimators under ranked-based sampling schemes. Communications in Statistics – Theory and Methods. 52 (4), 1155-1177. (IF=0.86).
  26.   Javaid, A, Noor-ul-Amin, M., Hanif. M. (2023). Performance of Max-EWMA control chart  for  joint  monitoring  of  mean  and  variance  with  measurement error, Communications in Statistics - Simulation and Computation, 52:1, 1-26 (IF=1.16)
  27.   Khan I, Noor-ul-Amin M., Khan DM, AlQahtani SA, Dahshan M, Khalil U. (2023). Monitoring of Location Parameters with a Measurement Error under the Bayesian Approach Using Ranked-Based Sampling Designs with Applications in Industrial Engineering. Sustainability, 15(8):6675. (IF=3.89)
  28.   I Khan, DM Khan, Noor-ul-Amin, M. et al. (2023). Hybrid EWMA Control Chart under Bayesian Approach Using Ranked Set Sampling Schemes with Applications to Hard-Bake Process. Applied Sciences, 13 (5), 2837. (IF=2.84)
  29. Jabeen, R., & Zaka, A. (2023). Statistical Quality Control Error detection through modified phase II process monitoring under different classical estimators. Journal of the National Science Foundation of Sri Lanka, 479.
  30. Jabeen, R., Akhtar, A., & Zaka, A. (2023). Modified calibrated control charts for monitoring the population mean under stratified sampling. Quality and Reliability EngineeringInternational, 39(1), 143-163.