241
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

An exponentially weighted moving average chart controlling false discovery rate

, &
Pages 1830-1840 | Received 09 Feb 2012, Accepted 21 Jan 2013, Published online: 11 Feb 2013

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

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.