References
- Gauri SK. Globally applicable control chart for online monitoring of stability of process mean. J. Stat. Comput. Simul. 2011;81:1847–1869. doi: 10.1080/00949655.2010.507204
- Riaz M, Saghir A. A mean deviation-based approach to monitor process variability. J. Stat. Comput. Simul. 2009;79:1173–1193. doi: 10.1080/00949650802174397
- Crowder SV. A simple method for studying run length distributions of exponentially weighted moving average control charts. Technometrics. 1987;29:401–407.
- Roberts SW. Control chart tests based on geometric moving averages. Technometrics. 1959;1:239–250. doi: 10.1080/00401706.1959.10489860
- Page ES. Continuous inspection schemes. Biometrika. 1954;41:100–115. doi: 10.1093/biomet/41.1-2.100
- Li Z, Luo Y, Wang Z. CUSUM of Q chart with variable sampling intervals for monitoring the process mean. Int. J. Prod. Res. 2010;48(16):4861–4876. doi: 10.1080/00207540903074983
- Li Z, Wang Z. Adaptive CUSUM of the Q chart. Int. J. Prod. Res. 2010;48(5):1287–1301. doi: 10.1080/00207540802484937
- Shu L, Huang W, Su Y, Tsui K-L. Computation of the run-length percentiles of CUSUM control charts under changes in variances. J. Stat. Comput. Simul [Internet]. 2012. [updated 2013 Feb 5]. Available from: http://www.tandfonline.com/doi/abs/10.1080/00949655.2012.656643
- Takemoto Y, Arizono I. Estimation of change point in process state on CUSUM(x-bar, s) control chart. Ind. Eng. Manage. Syst. 2009;8:139–147.
- Montgomery DC. Introduction to statistical quality control. 3rd ed. New York: Wiley; 1996.
- Lee S-H, Jun C-H. A new control scheme always better than X-bar chart. Comm. Statist. Theory Methods. 2010;39:3492–3503. doi: 10.1080/03610920903243744
- Benjamini Y, Kling Y. A look at statistical process control through the p-values. Technical report RP-SOR-99-08. Israel: Tel Aviv University; 1999.
- Li Z, Qiu P, Chatterjee S, Wang Z. Using p-values to design statistical process control charts. Statist. Papers [Internet]. 2012. Available from: http://www.springerlink.com/content/7620130778472276/. DOI: 10.1007/s00362-012-0447-0
- Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc. Ser. B. 1995;57:289–300.
- Lee S-H, Jun C-H. A process monitoring scheme controlling false discovery rate. Comm. Statist. Simulation Comput. 2012;41(10):1912–1920. doi: 10.1080/03610918.2011.625483
- Hunter JS. The exponentially weighted moving average. J. Qual. Technol. 1986;18:203–210.
- Lucas JM, Saccucci MS. Exponentially weighted moving average control charts: properties and enhancements (with discussion). Technometrics. 1990;32:1–29. doi: 10.1080/00401706.1990.10484583
- Kenett RS, Zacks S. Modern industrial statistics: design and control of quality and reliability. Pacific Grove (CA): Duxbury; 1998.
- Zacks S. Discussion on ‘Is average run length to false alarm always an informative criterion?’ by Yajun Mei. Sequential Anal. 2008;27:411–413. doi: 10.1080/07474940802446137