 Haq, A. (2018). Weighted adaptive multivariate CUSUM charts with variable sampling intervals. Journal of Statistical Computation and Simulation, early view.
 Haq, A. (2018). A nonparametric EWMA chart with auxiliary information for process mean. Journal Communications in Statistics  Theory & Methods, accepted for publication.
 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.
 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.
 Haq, A. & Khoo, M.B.C. (2018). An adaptive multivariate EWMA chart. Computers & Industrial Engineering, early view.
 Haq, A. (2018). A maximum adaptive EWMA control chart for monitoring process mean and variability. Quality Technology & Quantitative Management, accepted for publication.
 Abbasi, S. & Haq, A. (2018). New adaptive CUSUM charts for process mean. Communications in Statistics  Simulation and Computation, accepted for publication.
 Haq, A. & Abidin, Z.U. (2018). An enhanced GWMA chart for process mean. Communications in Statistics  Simulation and Computation, accepted for publication.
 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.
 Haq, A. & Khoo, M.B.C. (2018). Memorytype multivariate control charts with auxiliary information for process mean. Quality and Reliability Engineering International, early view.
 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.
 Awais, M. & Haq, A. (2018). New ShewhartEWMA and ShewhartCUSUM control charts for monitoring process mean. Scientia Iranica, Transactions E: Industrial Engineering, early view.
 Haq, A., Abidin, Z.U., & Khoo, M.B.C. (2018). An enhanced EWMAt control chart for monitoring the process mean. Communications in Statistics  Theory and Methods, early view.
 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.
 Haq, A. (2018). A new nonparametric synthetic EWMA control chart for monitoring process mean. Communications in Statistics  Simulation and Computation, early view.
 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), 48404858.
 Haq, A. (2018). A new adaptive EWMA control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(5), 846857.
 Ali, R., & Haq, A. (2018). New GWMACUSUM control chart for monitoring the process dispersion. Quality and Reliability Engineering International, 34(6), 9971028.
 Haq, A. (2018). Weighted adaptive multivariate CUSUM control charts. Quality and Reliability Engineering International, 34(5), 939952.
 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), 563571.
 Ali, R., & Haq, A. (2018). A mixed GWMACUSUM control chart for monitoring the process mean. Communications in StatisticsTheory and Methods, 47(15), 37793801.
 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), 282289.
 Haq, A. & Munir, W. (2018). Improved CUSUM charts for monitoring process mean. Journal of Statistical Computation and Simulation, 88(9), 16841701.
 Awais, M., & Haq, A. (2018). An EWMA chart for monitoring process mean. Journal of Statistical Computation and Simulation, 88(5), 10031025.
 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), 7490.
 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), 869899.
 Haq, A. (2018). Modified partially ordered judgment subset sampling schemes. Elsevier Book: Ranked Set Sampling, Chapter no. 8, Edition 1st. Copyright Academic Press.
 Haq, A. (2017). A new hybrid exponentially weighted moving average control chart for monitoring process mean: discussion. Quality and Reliability Engineering International, 33(7), 16291631.
 Haq, A. (2017). New EWMA control charts for monitoring process dispersion using auxiliary information. Quality and Reliability Engineering International, 33(8), 25972614.
 Munir, W., & Haq, A. (2017). New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation, 87(15), 28822899.
 Ali, R., & Haq, A. (2017). New memorytype dispersion control charts. Quality and Reliability Engineering International, 33(8), 21312149.
 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), 15771587.
 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), 8495.
 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), 15491565.
 Haq, A. (2017). A new nonparametric EWMA control chart for monitoring process variability. Quality and Reliability Engineering International, 33(7), 14991512.
 Haq, A. (2017). Twostage cluster sampling with hybrid ranked set sampling in the secondary sampling frame. Communications in StatisticsTheory and Methods, 46(17), 84508467.
 Haq, A. (2017). Estimation of the distribution function under hybrid ranked set sampling. Journal of Statistical Computation and Simulation, 87(2), 313327.
 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 StatisticsTheory and Methods, 46(9), 44254426.
 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), 30683092.
 AlOmari, A.I., & Haq, A. (2016). Entropy estimation and goodnessoffit tests for the inverse Gaussian and Laplace distributions using paired ranked set sampling. Journal of Statistical Computation and Simulation, 86(11), 22622272.
 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), 19131927.
 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 StatisticsTheory and Methods, 45(12), 35413561.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2016). Paired doubleranked set sampling. Communications in StatisticsTheory and Methods, 45(10), 28732889.
 Haq, A., Brown, J., & Moltchanova, E. (2016). Hybrid ranked set sampling scheme. Journal of Statistical Computation and Simulation, 86(1), 128.
 Haq, A., & AlOmari, A.I. (2016). Bayes estimation and prediction of a three component mixture of Rayleigh distribution under typeI censoring. Investigacion Operacional, 37(1), 2237.
 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), 241256.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2016). Best linear unbiased and invariant estimation in locationscale families based on double ranked set sampling scheme. Communications in StatisticsTheory and Methods, 45(1), 2548.
 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), 269290.
 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), 15871610.
 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), 13051325.
 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), 16231640.
 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), 13371357.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2015). Varied L ranked set sampling scheme. Journal of Statistical Theory and Practice, 9(4), 741767.
 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), 877901.
 Haq, A., & AlOmari, A.I. (2015). A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling. Quality and Quantity, 49(3), 11851202.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, 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), 12241246.
 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), 265290.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2015). Improved exponentially weighted moving average control charts for monitoring process mean and dispersion. Quality and Reliability Engineering International, 31(2), 217237.
 AlOmari, A.I., & Haq, A. (2014). Monte Carlo comparison of three tests of exponentiality based on the KullbackLeibler information in ranked set sampling. Journal of Statistics and Management Systems, 17(56), 479502.
 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), 10791093.
 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), 13111332.
 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), 11651177.
 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), 697710.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2014). Ordered double ranked set samples and applications to inference. American Journal of Mathematical and Management Sciences, 33(4), 239260.
 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), 20112024.
 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), 336341.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2014). Mixed ranked set sampling design. Journal of Applied Statistics, 41(10), 21412156.
 Shabbir, J., Haq, A., & Gupta, S. (2014). A new differencecumexponential type estimator of finite population mean in simple random sampling. Colombian Journal of Statistics, 37(1), 197209.
 Haq, A., & Shabbir, J. (2014). An improved estimator of finite population mean when using two auxiliary attributes. Applied Mathematics and Computation, 241(15), 1424.
 Haq, A. (2013). A new hybrid exponentially weighted moving average control chart for monitoring process mean. Quality and Reliability Engineering International, 29(7), 10151025.
 Haq, A., Brown, J., Moltchanova, E., & AlOmari, A.I. (2013). Partial ranked set sampling design. Environmetrics, 24(3), 201207.
 Haq, A., & Shabbir, J. (2013). Improved family of ratio estimators in simple and stratified random sampling. Communications in StatisticsTheory and Methods, 42(5), 782799.
 Haq, A., Shabbir, J., & Gupta, S. (2013). Improved exponential ratio type estimators in stratified sampling. Pakistan Journal of Statistics, 29(1), 1331.
 AlOmari, A.I., & Haq, A. (2012). Improved quality control charts for monitoring the process mean, using doubleranked set sampling methods. Journal of Applied Statistics, 39(4), 745763.
 AlOmari, A.I., & Haq, A. (2012). Goodnessoffit 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.
 Haq, A., & Dey, S. (2011). Bayesian estimation of Erlang distribution under different prior distributions. Journal of Reliability and Statistical Studies, 4(1), 130.
 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), 4566.
 Haq, A. (2009). New improved informative priors for variance of normal distribution. INTERSTAT, November.
 Haq, A., & Aslam, M. (2009). On the double prior selection for the parameter of Poisson distribution. INTERSTAT, November.
 Aslam, M., & Haq, A. (2009). On the prior selection for variance of normal distribution. INTERSTAT, May.
