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Name: Dr. Abdul Haq
Designation: Assistant Professor
Department: Statistics


Qualifications: DPhil in Statistics, University of Canterbury,
Christchurch, New Zealand, 2014

MPhil in Statistics, Quaid-i-Azam University,
Islamabad, Pakistan, 2010

MSc in Statistics, Quaid-i-Azam University,
Islamabad, Pakistan, 2007

HEC (Higher Education Commission)
Approved PhD Supervisor



Phone: +92-51 9064-2188
Email: abdulhaq@qau.edu.pk
Status: On Job
Other Weblink: https://goo.gl/ePBKxr

View Resume

Research Interests Publications Conferences Research Projects

Statistical Process Control; Survey Sampling; Order Statistics.
  1. Ali, R. & Haq, A. (2017). A mixed GWMA-CUSUM control chart for monitoring the process mean. Communications in Statistics-Theory and Methods, accepted for publication.
  2. Haq, A. & Shabbir, J. (2017). An improved class of estimators of finite population mean in simple random sampling using an auxiliary attribute. Journal of Statistical Theory and Practice, early view.
  3. Munir, W. & Haq, A. (2017). New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation, early view.
  4. Ali, R. & Haq, A. (2017). New memory-type dispersion control charts. Quality and Reliability Engineering International, early view.
  5. Haq, A. (2017). New synthetic CUSUM and synthetic EWMA control charts for monitoring the process mean using auxiliary information. Quality and Reliability Engineering International, early view.
  6. Haq, A. (2017). A new nonparametric EWMA control chart for monitoring process variability. Quality and Reliability Engineering International, early view.
  7. Haq, A. (2017). A new maximum EWMA control chart for simultaneously monitoring process mean and dispersion using auxiliary information. Quality and Reliability Engineering International, early view.
  8. Haq, A. (2017). A new hybrid exponentially weighted moving average control chart for monitoring process mean: discussion. Quality and Reliability Engineering International, early view.
  9. Haq, A. (2017). Two-stage cluster sampling with hybrid ranked set sampling in the secondary sampling frame. Communications in Statistic-Theory and Methods, early view.
  10. Haq, A. (2017). Estimation of the distribution function under hybrid ranked set sampling. Journal of Statistical Computation and Simulation, early view.
  11. Lim, AJX., Khoo, MBC., Teoh, WL. & Haq, A. (2017). Run sum chart for monitoring multivariate coefficient of variation. Computers & Industrial Engineering, 109 (July), 84–95.
  12. Haq, A., Khan, M. & Hussain, Z. (2017). A new estimator of finite population mean based on the dual use of the auxiliary information. Communications in Statistics-Theory and Methods, 46(9), 4425–4436.
  13. Al-Omari, A.I. & Haq, A. (2016). Entropy estimation and goodness-of-fit tests for the inverse Gaussian and Laplace distributions  using paired ranked set sampling. Journal of Statistical Computation and Simulation, 86(11), 2262–2272.
  14. Haq, A. & Khoo, M.B.C. (2016). A new synthetic control chart for monitoring process mean using auxiliary information. Journal of Statistical Computation and Simulation, 86(15), 3068–3092.
  15. You, J.W., Khoo, M.B.C., Castagliola, P. & Haq, A. (2016). Monitoring the coefficient of variation using the side sensitive group runs chart. Quality and Reliability Engineering International, 32(5), 1913–1927.
  16. Haq, A., Brown, J. & Moltchanova, E. (2016). Improved best linear unbiased estimators for the simple linear regression model using double ranked set sampling schemes. Communications in Statistics-Theory and Methods, 45(12), 3541–3561.
  17. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2016). Paired double-ranked set sampling. Communications in Statistics-Theory and Methods, 45(1), 2873–2889.
  18. Haq, A., Brown, J. & Moltchanova, E. (2016). A new synthetic exponentially weighted moving average control chart for monitoring process dispersion. Quality and Reliability Engineering International, 32(1), 241–256.
  19. Haq, A., Brown, J. & Moltchanova, E. (2016). New synthetic EWMA and synthetic CUSUM control charts for monitoring the process mean. Quality and Reliability Engineering International,  32(1), 269–290.
  20. Haq, A., Brown, J. & Moltchanova, E. (2016). Hybrid ranked set sampling scheme. Journal of Statistical Computation and Simulation, 86(1), 1–28.
  21. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2016). Best linear unbiased and invariant estimation in location-scale families based on double ranked set sampling scheme. Communications in Statistics-Theory and Methods, 45(1), 25–48.
  22. Haq, A. & Al-Omari, A.I. (2016). Bayes estimation and prediction of a three component mixture of Rayleigh distribution under type-I censoring. Investigación Operacional, 37(1), 22–37.
  23. Haq, A., Brown, J. & Moltchanova, E. (2015). A new maximum exponentially weighted moving average control chart for monitoring process mean and dispersion. Quality and Reliability Engineering International, 31(8), 1587–1610.
  24. Haq, A., Brown, J. & Moltchanova, E. (2015). New synthetic control charts for monitoring process mean and process dispersion. Quality and Reliability Engineering International, 31(8), 1305–1325.
  25. Haq, A., Brown, J. & Moltchanova, E. (2015). A new exponentially weighted moving average control chart for monitoring process dispersion. Quality and Reliability Engineering International, 31(8), 1305–1325.
  26. Haq, A., Brown, J. & Moltchanova, E. (2015). A new exponentially weighted moving average control chart for monitoring the process mean. Quality and Reliability Engineering International, 31(8), 1623–1640.
  27. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2015). Varied L ranked set sampling scheme. Journal of Statistical Theory and Practice, 9(4), 741–767.
  28. Haq, A., Brown, J. & Moltchanova, E. (2015). New exponentially weighted moving average control charts for monitoring process mean and process dispersion. Quality and Reliability Engineering International, 31(5), 877–901.
  29. Haq, A. & Al-Omari, A.I. (2015). A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling. Quality and Quantity, 49(3), 1185–1202.
  30. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2015). Effect of measurement error on exponentially weighted moving average control charts under ranked set sampling schemes. Journal of Statistical Computation and Simulation, 85(6), 1224–1246.
  31. Haq, A., Brown, J. & Moltchanova, E. (2015). An improved maximum exponentially weighted moving control chart for monitoring process mean and variability. Quality and Reliability Engineering International, 31(2), 265–290.
  32. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2015). Improved exponentially weighted moving average control charts for monitoring process mean and dispersion. Quality and Reliability Engineering International, 31(2), 217–237.
  33. Al-Omari, A.I. & Haq, A. (2014). Monte Carlo comparison of three tests of exponentiality based on the Kullback-Leibler information in ranked set sampling. Journal of Statistics and Management Systems, 17, 5-6, 479–502.
  34. Haq, A. & Shabbir, J. (2014). Improved exponential type estimators of finite population mean under complete and partial auxiliary information. Hacettepe Journal of Mathematics and Statistics, 43(6), 1079–1093.
  35. Shabbir, J., Haq, A. & Gupta, S. (2014). A New Difference-Cum-Exponential Type Estimator of Finite Population Mean in Simple Random Sampling. Colombian Journal of Statistics, 37(1), 197–209.
  36. Haq, A., Brown, J. & Moltchanova, E. (2014). New exponentially weighted moving average control charts for monitoring process dispersion. Quality and Reliability Engineering International, 30(8), 1311–1332.
  37. Haq, A., Brown, J. & Moltchanova, E. (2014). A new cumulative sum quality control scheme for monitoring the process mean. Quality and Reliability Engineering International, 30(8), 1165–1177.
  38. Haq, A., Brown, J. & Moltchanova, E. (2014). Improved fast initial response features for exponentially weighted moving average and cumulative sum control charts. Quality and Reliability Engineering International, 30(5), 697–710.
  39. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2014). Ordered double ranked set samples and applications to inference. American Journal of Mathematical and Management Sciences, 33(4), 239–260.
  40. Haq, A. (2014). An improved mean deviation exponentially weighted moving average control chart to monitor process dispersion under ranked set sampling. Journal of Statistical Computation and Simulation, 84(9), 2011–2024.
  41. Haq, A. & Shabbir, J. (2014). An improved family of estimators of finite population mean based on the auxiliary attribute. Applied Mathematics and Computation, 230(1), 336–341.
  42. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2014). Mixed ranked set sampling design. Journal of Applied Statistics, 41(10), 2141–2156.
  43. Haq, A. & Shabbir, J. (2014). An improved estimator of finite population mean when using two auxiliary attributes. Applied Mathematics and Computation, 241(15), 14–24.
  44. Haq, A. (2013). A new hybrid exponentially weighted moving average control chart for monitoring process mean. Quality and Reliability Engineering International, 29(7), 1015–1025.
  45. Haq, A., Brown, J., Moltchanova, E. & Al-Omari, A.I. (2013). Partial ranked set sampling design. Environmetrics, 24(3), 201–207.
  46. Haq, A. & Shabbir, J. (2013). Improved family of ratio estimators in simple and stratified random sampling. Communications in Statistics-Theory and Methods, 42(5), 782–799.
  47. Haq, A., Shabbir, J. & Gupta, S. (2013). Improved exponential ratio type estimators in stratified sampling. Pakistan Journal of Statistics, 29(1), 13–31.
  48. Al-Omari, A.I. & Haq, A. (2012). Improved quality control charts for monitoring the process mean, using double-ranked set sampling methods. Journal of Applied Statistics, 39(4), 745–763.
  49. Al-Omari, A.I. & Haq, A. (2012). Goodness-of-fit testing for the inverse Gaussian distribution based on new entropy estimation using ranked set sampling and double ranked set sampling. Environmental Systems Research, September 1:8.
  50. Haq, A. & Dey, S. (2011). Bayesian estimation of Erlang distribution under different prior distributions. Journal of Reliability and Statistical Studies, 4(1), 1–30.
  51. Haq, A. & Shabbir, J. (2010). A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables. SORT, 34(1), 45–66.
  52. Haq, A. (2009). New improved informative priors for variance of normal distribution. INTERSTAT, November.
  53. Haq, A. & Aslam, M. (2009). On the double prior selection for the parameter of Poisson distribution. INTERSTAT, November.
  54. Aslam, M. & Haq, A. (2009). On the prior selection for variance of normal distribution. INTERSTAT, May.


Quaid-i-Azam University Islamabad, 45320, Pakistan.
Tel: +92-51 9064 0000, Email:webmaster@qau.edu.pk