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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.

  1. Haq, A. (2018). Weighted adaptive multivariate CUSUM charts with variable sampling intervals. Journal of Statistical Computation and Simulation, early view.
  2. Haq, A. (2018). A nonparametric EWMA chart with auxiliary information for process mean. Journal Communications in Statistics - Theory & Methods, accepted for publication.
  3. Abbasi, S. & Haq, A. (2018). Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean. Journal of Statistical Computation and Simulation, accepted for publication.
  4. Hussain, I. & Haq, A. (2018). A new family of estimators for population mean with dual use of the auxiliary information. Journal of Statistical Theory and Practice, accepted for publication.
  5. Haq, A. & Khoo, M.B.C. (2018). An adaptive multivariate EWMA chart. Computers & Industrial Engineering, early view.
  6. Haq, A.  (2018). A maximum adaptive EWMA control chart for monitoring process mean and variability. Quality Technology & Quantitative Management, accepted for publication.
  7. Abbasi, S. & Haq, A.  (2018). New adaptive CUSUM charts for process mean. Communications in Statistics - Simulation and Computation, accepted for publication.
  8. Haq, A.  & Abidin, Z.U. (2018). An enhanced GWMA chart for process mean. Communications in Statistics - Simulation and Computation, accepted for publication.
  9. Haq, A.  & Khoo, M.B.C. (2018). A new nonparametric multivariate EWMA sign control chart for monitoring process dispersion. Communications in Statistics - Theory and Methods, accepted for publication.
  10. Haq, A.  & Khoo, M.B.C. (2018). Memory-type multivariate control charts with auxiliary information for process mean. Quality and Reliability Engineering International, early view.
  11. Chong, N.L., Khoo, M.B.C., Haq, A., & Castagliola, P. (2018). Hotelling’s T^2 control chart with fixed and variable sample sizes for monitoring short production runs. Quality and Reliability Engineering International, early view.
  12. Awais, M. & Haq, A.  (2018). New Shewhart-EWMA and Shewhart-CUSUM control charts for monitoring process mean. Scientia Iranica, Transactions E: Industrial Engineering, early view.
  13. Haq, A., Abidin, Z.U., & Khoo, M.B.C. (2018). An enhanced EWMA-t control chart for monitoring the process mean. Communications in Statistics - Theory and Methods, early view.
  14. Saha, S., Khoo, M.B.C., Lee, M.H., & Haq, A.  (2018). A variable sample size and sampling interval control chart for monitoring the process mean by using auxiliary information. Quality Technology & Quantitative Management, early view.
  15. Haq, A.  (2018). A new nonparametric synthetic EWMA control chart for monitoring process mean. Communications in Statistics - Simulation and Computation, early view.
  16. Haq, A.  (2018). A new adaptive EWMA control chart using auxiliary information for monitoring the process mean. Communications in Statistics - Theory and Methods, 47(19), 4840--4858.
  17. Haq, A.  (2018). A new adaptive EWMA control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(5), 846--857.
  18. Ali, R., & Haq, A.  (2018). New GWMA-CUSUM control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(6), 997--1028.
  19. Haq, A.  (2018). Weighted adaptive multivariate CUSUM control charts. Quality and Reliability Engineering International, 34(5), 939--952.
  20. Haq, A., Gulzar, R., & Khoo, M.B.C. (2018). An efficient adaptive EWMA control chart for monitoring the process mean. Quality and Reliability Engineering International, 34(4), 563--571.
  21. Ali, R., & Haq, A.  (2018). A mixed GWMA-CUSUM control chart for monitoring the process mean. Communications in Statistics-Theory and Methods, 47(15), 3779--3801.
  22. Haq, A., & Shabbir, J. (2018). An improved class of estimators of finite population mean in simple random sampling using an auxiliary attribute. Journal of Statistical Theory and Practice, 12(2), 282--289.
  23. Haq, A.  & Munir, W. (2018). Improved CUSUM charts for monitoring process mean. Journal of Statistical Computation and Simulation, 88(9), 1684--1701.
  24. Awais, M., & Haq, A.  (2018). An EWMA chart for monitoring process mean. Journal of Statistical Computation and Simulation, 88(5), 1003--1025.
  25. Awais, M., & Haq, A.  (2018). A new cumulative sum control chart for monitoring the process mean using varied L ranked set sampling. Journal of Industrial and Production Engineering, 35(2), 74--90.
  26. Haq, A., & Khoo, M.B.C. (2018). A new double sampling control chart for monitoring process mean using auxiliary information. Journal of Statistical Computation and Simulation, 88(5), 869--899.
  27. Haq, A. (2018). Modified partially ordered judgment subset sampling schemes. Elsevier Book: Ranked Set Sampling, Chapter no. 8, Edition 1st. Copyright Academic Press.
  28. Haq, A. (2017). A new hybrid exponentially weighted moving average control chart for monitoring process mean: discussion. Quality and Reliability Engineering International, 33(7), 1629--1631.
  29. Haq, A.  (2017). New EWMA control charts for monitoring process dispersion using auxiliary information. Quality and Reliability Engineering International, 33(8), 2597--2614.
  30. Munir, W., & Haq, A.  (2017). New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation, 87(15), 2882--2899.
  31. Ali, R., & Haq, A.  (2017). New memory-type dispersion control charts. Quality and Reliability Engineering International, 33(8), 2131--2149.
  32. Haq, A.  (2017). A new maximum EWMA control chart for simultaneously monitoring process mean and dispersion using auxiliary information. Quality and Reliability Engineering International, 33(7), 1577--1587.
  33. Lim, A.J.X., Khoo, M.B.C., Teoh, W.L., & Haq, A.  (2017). Run sum chart for monitoring multivariate coefficient of variation. Computers, & Industrial Engineering, 109 (July), 84--95.
  34. Haq, A.  (2017). New synthetic CUSUM and synthetic EWMA control charts for monitoring the process mean using auxiliary information. Quality and Reliability Engineering International, 33(7), 1549--1565.
  35. Haq, A.  (2017). A new nonparametric EWMA control chart for monitoring process variability. Quality and Reliability Engineering International, 33(7), 1499--1512.
  36. Haq, A.  (2017). Two-stage cluster sampling with hybrid ranked set sampling in the secondary sampling frame. Communications in Statistics-Theory and Methods, 46(17), 8450--8467.
  37. Haq, A.  (2017). Estimation of the distribution function under hybrid ranked set sampling. Journal of Statistical Computation and Simulation, 87(2), 313--327.
  38. 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--4426.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. Haq, A., Brown, J., Moltchanova, E., & Al-Omari, A.I. (2016). Paired double-ranked set sampling. Communications in Statistics-Theory and Methods, 45(10), 2873--2889.
  44. Haq, A., Brown, J., & Moltchanova, E. (2016). Hybrid ranked set sampling scheme. Journal of Statistical Computation and Simulation, 86(1), 1--28.
  45. Haq, A., & Al-Omari, A.I. (2016). Bayes estimation and prediction of a three component mixture of Rayleigh distribution under type-I censoring. Investigacion Operacional, 37(1), 22--37.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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), 1337--1357.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. Haq, A., Brown, J., Moltchanova, E., & Al-Omari, A.I. (2014). Mixed ranked set sampling design. Journal of Applied Statistics, 41(10), 2141--2156.
  68. 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.
  69. 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.
  70. 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.
  71. Haq, A., Brown, J., Moltchanova, E., & Al-Omari, A.I. (2013). Partial ranked set sampling design. Environmetrics, 24(3), 201--207.
  72. 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.
  73. Haq, A., Shabbir, J., & Gupta, S. (2013). Improved exponential ratio type estimators in stratified sampling. Pakistan Journal of Statistics, 29(1), 13--31.
  74. 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.
  75. 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.
  76. Haq, A., & Dey, S. (2011). Bayesian estimation of Erlang distribution under different prior distributions. Journal of Reliability and Statistical Studies, 4(1), 1--30.
  77. 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.
  78. Haq, A.  (2009). New improved informative priors for variance of normal distribution. INTERSTAT, November.
  79. Haq, A., & Aslam, M. (2009). On the double prior selection for the parameter of Poisson distribution. INTERSTAT, November.
  80. Aslam, M., & Haq, A.  (2009). On the prior selection for variance of normal distribution. INTERSTAT, May.



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