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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. & Khoo, M.B.C. (2019). Memory-type multivariate charts with fixed and variable sampling intervals for process mean when covariance matrix is unknown. Quality and Reliability Engineering International, accepted for publication.
  2. Haq, A. & Bibi, L. (2019). The dual CUSUM charts with auxiliary information for process mean. Communications in Statistics - Simulation and Computation, early view.
  3. Lim, A.J.X., Khoo, M.B.C., Yeong, W.C., & Haq, A. (2019). A run sum S chart with two sampling intervals. International Journal of Industrial Engineering: Theory Applications and Practice, accepted for publication.
  4. Abbasi, S. & Haq, A. (2019). Enhanced adaptive CUSUM charts for process mean. Journal of Statistical Computation and Simulation, early view.
  5. Haq, A. & Abidin, Z.U. (2019). An enhanced CUSUM-t chart for process mean. Quality and Reliability Engineering International, early view.
  6. Al-Omari, A.I. & Haq, A. (2019). A new sampling method for estimating the population mean. Journal of Statistical Computation and Simulation, early view.
  7. Haq, A. & Khoo, M.B.C. (2019). New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation. Computers & Industrial Engineering, early view.
  8. Haq, A. & Khoo, M.B.C. (2019). A synthetic double sampling control chart for process mean using auxiliary information. Quality and Reliability Engineering International, early view.
  9. Haq, A. & Bibi, L. (2019). A new dual CUSUM mean chart. Quality and Reliability Engineering International, early view.
  10. Al-Omari, A. I. & Haq, A. (2019). Novel entropy estimators of a continuous random variable. International Journal of Modeling, Simulation, and Scientific Computing, early view.
  11. Haq, A. (2018). Weighted adaptive multivariate CUSUM charts with variable sampling intervals. Journal of Statistical Computation and Simulation, early view.
  12. Haq, A. (2018). A nonparametric EWMA chart with auxiliary information for process mean. Communications in Statistics - Theory & Methods, early view.
  13. Abbasi, S. & Haq, A. (2018). Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean. Journal of Statistical Computation and Simulation, early view.
  14. 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, early view.
  15. Haq, A. & Khoo, M.B.C. (2018). An adaptive multivariate EWMA chart. Computers & Industrial Engineering, early view.
  16. Haq, A.  (2018). A maximum adaptive EWMA control chart for monitoring process mean and variability. Quality Technology & Quantitative Management, early view.
  17. Abbasi, S. & Haq, A.  (2018). New adaptive CUSUM charts for process mean. Communications in Statistics - Simulation and Computation, early view.
  18. Haq, A.  & Abidin, Z.U. (2018). An enhanced GWMA chart for process mean. Communications in Statistics - Simulation and Computation, early view.
  19. 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, early view.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Haq, A.  (2018). A new nonparametric synthetic EWMA control chart for monitoring process mean. Communications in Statistics - Simulation and Computation, early view.
  26. 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.
  27. Haq, A.  (2018). A new adaptive EWMA control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(5), 846--857.
  28. Ali, R., & Haq, A.  (2018). New GWMA-CUSUM control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(6), 997--1028.
  29. Haq, A.  (2018). Weighted adaptive multivariate CUSUM control charts. Quality and Reliability Engineering International, 34(5), 939--952.
  30. 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.
  31. 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.
  32. 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.
  33. Haq, A.  & Munir, W. (2018). Improved CUSUM charts for monitoring process mean. Journal of Statistical Computation and Simulation, 88(9), 1684--1701.
  34. Awais, M., & Haq, A.  (2018). An EWMA chart for monitoring process mean. Journal of Statistical Computation and Simulation, 88(5), 1003--1025.
  35. 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.
  36. 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.
  37. Haq, A. (2018). Modified partially ordered judgment subset sampling schemes. Elsevier Book: Ranked Set Sampling, Chapter no. 8, Edition 1st. Copyright Academic Press.
  38. 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.
  39. Haq, A.  (2017). New EWMA control charts for monitoring process dispersion using auxiliary information. Quality and Reliability Engineering International, 33(8), 2597--2614.
  40. Munir, W., & Haq, A.  (2017). New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation, 87(15), 2882--2899.
  41. Ali, R., & Haq, A.  (2017). New memory-type dispersion control charts. Quality and Reliability Engineering International, 33(8), 2131--2149.
  42. 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.
  43. 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.
  44. 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.
  45. Haq, A.  (2017). A new nonparametric EWMA control chart for monitoring process variability. Quality and Reliability Engineering International, 33(7), 1499--1512.
  46. 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.
  47. Haq, A.  (2017). Estimation of the distribution function under hybrid ranked set sampling. Journal of Statistical Computation and Simulation, 87(2), 313--327.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. Haq, A., Brown, J., & Moltchanova, E. (2016). Hybrid ranked set sampling scheme. Journal of Statistical Computation and Simulation, 86(1), 1--28.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. Haq, A., Brown, J., Moltchanova, E., & Al-Omari, A.I. (2014). Mixed ranked set sampling design. Journal of Applied Statistics, 41(10), 2141--2156.
  78. 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.
  79. 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.
  80. 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.
  81. Haq, A., Brown, J., Moltchanova, E., & Al-Omari, A.I. (2013). Partial ranked set sampling design. Environmetrics, 24(3), 201--207.
  82. 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.
  83. Haq, A., Shabbir, J., & Gupta, S. (2013). Improved exponential ratio type estimators in stratified sampling. Pakistan Journal of Statistics, 29(1), 13--31.
  84. 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.
  85. 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.
  86. Haq, A., & Dey, S. (2011). Bayesian estimation of Erlang distribution under different prior distributions. Journal of Reliability and Statistical Studies, 4(1), 1--30.
  87. 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.
  88. Haq, A.  (2009). New improved informative priors for variance of normal distribution. INTERSTAT, November.
  89. Haq, A., & Aslam, M. (2009). On the double prior selection for the parameter of Poisson distribution. INTERSTAT, November.
  90. Aslam, M., & Haq, A.  (2009). On the prior selection for variance of normal distribution. INTERSTAT, May.



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