References
- Abbasi, S. A. and Miller, A. (2013), MDEWMA chart: An efficient and robust alternative to monitor process dispersion, Journal of Statistical Computation and Simulation, 83(2), 247-268. https://doi.org/10.1080/00949655.2011.601416
- Ahmad, L., Aslam, M., and Jun, C.-H. (2013), Designing of X-bar control charts based on process capability index using repetitive sampling, Transactions of the Institute of Measurement and Control, 0142331213502070. https://doi.org/10.1177/0142331213502070
- Ahmad, S., Riaz, M., Abbasi, S. A., and Lin, Z. (2013), On monitoring process variability under double sampling scheme, International Journal of Production Economics, 142(2), 388-400. https://doi.org/10.1016/j.ijpe.2012.12.015
- Aksoy, H. (2000), Use of gamma distribution in hydrological analysis, Turkish Journal of Engineering and Environmental Sciences, 24(6), 419-428.
-
Al-Oraini, H. A. and Rahim, M. (2002), Economic statistical design of X control charts for systems with Gamma (
${\lambda}$ , 2) in-control times, Computers & industrial engineering, 43(3), 645-654. https://doi.org/10.1016/S0360-8352(02)00119-5 - Aslam, M. (2016), A Mixed EWMA-CUSUM Control Chart for Weibull-Distributed Quality Characteristics, Quality and Reliability Engineering International.
- Aslam, M., Azam, M., and Jun, C.-H. (2015), Multiple dependent state repetitive group sampling plan for Burr XII distribution, Quality Engineering, 1-7.
- Aslam, M., Azam, M., Khan, N., and Jun, C.-H. (2015), A control chart for an exponential distribution using multiple dependent state sampling, Quality & Quantity, 49(2), 455-462. https://doi.org/10.1007/s11135-014-0002-2
- Aslam, M., Mohsin, M., and Jun, C.-H. (2016), A New t-Chart Using Process Capability Index, Communications in Statistics-Simulation and Computation (just-accepted).
- Azam, M., Aslam, M., and Jun, C.-H. (2015), Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling, The International Journal of Advanced Manufacturing Technology, 77(9-12), 1927-1933. https://doi.org/10.1007/s00170-014-6585-x
- Balamurali, S. and Jun, C.-H. (2007), Multiple dependent state sampling plans for lot acceptance based on measurement data, European Journal of Operational Research, 180(3), 1221-1230. https://doi.org/10.1016/j.ejor.2006.05.025
- Chananet, C., Sukparungsee, S., and Areepong, Y. (2014), The ARL of EWMA chart for monitoring ZINB model using Markov chain approach, International Journal of Applied Physics and Mathematics, 4(4), 236. https://doi.org/10.7763/IJAPM.2014.V4.290
- Hogg, R. V. and Craig, A. T. (1970), introduction to. Mathematical stati sties EDITION.
- Jearkpaporn, D., Montgomery, D. C., Runger, G. C., and Borror, C. M. (2003), Process monitoring for correlated gamma-distributed data using generalized-linear-modelbased control charts, Quality and Reliability Engineering International, 19(6), 477-491. https://doi.org/10.1002/qre.521
- Johnson, N. L. and Kotz, S. (1970), Distributions in Statistics: Continuous Univariate Distributions: Vol.2: Houghton Mifflin.
- Mohammed, M. (2004), Using statistical process control to improve the quality of health care, Quality and Safety in Health Care, 13(4), 243-245. https://doi.org/10.1136/qshc.2004.011650
- Mohammed, M. and Laney, D. (2006), Overdispersion in health care performance data: Laney's approach, Quality and Safety in Health Care, 15(5), 383-384. https://doi.org/10.1136/qshc.2006.017830
- Montgomery, D. C. (2007), Introduction to Statistical Quality Control, John Wiley & Sons.
- Nelson, L. S. (1994), A control chart for parts-per-million nonconforming items, Journal of Quality Technology, 26(3), 239-240. https://doi.org/10.1080/00224065.1994.11979529
- Santiago, E. and Smith, J. (2013), Control charts based on the exponential distribution: Adapting runs rules for the t chart, Quality Engineering, 25(2), 85-96. https://doi.org/10.1080/08982112.2012.740646
- Santos, D. (2009), Beyond Six Sigma: A Control Chart for Tracking Defects per Billion Opportunities (dpbo), International Journal of Industrial Engineering: Theory, Applications and Practice, 16(3), 227-233.
- Schilling, E. G. and Nelson, P. R. (1976), The effect of non-normality on the control limits of X-bar charts, Journal of Quality Technology, 8(4).
- Sheu, S. H. and Lin, T. C. (2003), The generally weighted moving average control chart for detecting small shifts in the process mean, Quality Engineering, 16(2), 209-231. https://doi.org/10.1081/QEN-120024009
- Shu, L., Huang, W., and Jiang, W. (2014), A novel gradient approach for optimal design and sensitivity analysis of EWMA control charts, Naval Research Logistics (NRL), 61(3), 223-237. https://doi.org/10.1002/nav.21579
- Soundararajan, V. and Vijayaraghavan, R. (1990), Construction and selection of multiple dependent (deferred) state sampling plan, Journal of Applied Statistics, 17(3), 397-409. https://doi.org/10.1080/02664769000000012
- Stoumbos, Z. G. B. and Reynolds Jr, M. R. (2000), Robustness to non-normality and autocorrelation of individuals control charts, Journal of Statistical Computation and Simulation, 66(2), 145-187. https://doi.org/10.1080/00949650008812019
- Wortham, A. and Baker, R. (1976), Multiple deferred state sampling inspection, The International Journal Of Production Research, 14(6), 719-731. https://doi.org/10.1080/00207547608956391
- Zhang, C., Xie, M., Liu, J., and Goh, T. (2007), A control chart for the Gamma distribution as a model of time between events, International Journal of Production Research, 45(23), 5649-5666. https://doi.org/10.1080/00207540701325082
Cited by
- A new variable control chart under generalized multiple dependent state sampling pp.1532-4141, 2020, https://doi.org/10.1080/03610918.2018.1517213
- Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product vol.7, pp.4, 2017, https://doi.org/10.3390/pr7040209
- Multiple Dependent State Sampling-Based Chart Using Belief Statistic under Neutrosophic Statistics vol.2020, pp.None, 2017, https://doi.org/10.1155/2020/7680286
- Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum-Saunders Distribution vol.2020, pp.None, 2017, https://doi.org/10.1155/2020/8539361
- A Control Chart for Exponentially Distributed Characteristics Using Modified Multiple Dependent State Sampling vol.2020, pp.None, 2017, https://doi.org/10.1155/2020/5682587
- Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme vol.2021, pp.None, 2017, https://doi.org/10.1155/2021/6635846
- Monitoring Mortality Caused by COVID-19 Using Gamma-Distributed Variables Based on Generalized Multiple Dependent State Sampling vol.2021, pp.None, 2017, https://doi.org/10.1155/2021/6634887
- A New Variable-Censoring Control Chart Using Lifetime Performance Index under Exponential and Weibull Distributions vol.2021, pp.None, 2017, https://doi.org/10.1155/2021/1350169
- Modified EWMA control chart for transformed gamma data vol.50, pp.10, 2017, https://doi.org/10.1080/03610918.2019.1619762
- Failure rate monitoring in generalized gamma-distributed process vol.18, pp.6, 2021, https://doi.org/10.1080/16843703.2021.1953241
- Improving the efficiency of various Shewhart control charts vol.24, pp.8, 2017, https://doi.org/10.1080/09720510.2021.1920666