References
- Bourke, P. D. 1991. Detecting a shift in fraction nonconforming using run-length control charts with 100% inspection. Journal of Quality Technology 23 (3):225–38. doi:10.1080/00224065.1991.11979328.
- Bourke, P. D. 2001a. Sample size and the binomial CUSUM control chart: The case of 100% inspection. Metrika 53 (1):51–70.
- Bourke, P. D. 2001b. The geometric CUSUM chart with sampling inspection for monitoring fraction defective. Journal of Applied Statistics 28 (8):951–72. doi:10.1080/02664760120076643.
- Bourke, P. D. 2018. Choosing parameter values for a geometric CUSUM chart for detecting an upward shift in a proportion. Quality Engineering 30 (4):621–34. doi:10.1080/08982112.2018.1443341.
- Brook, D., and D. A. Evans. 1972. An approach to the probability distribution of CUSUM run-length. Biometrika 59 (3):539–49. doi:10.1093/biomet/59.3.539.
- Calvin, T. 1983. Quality control techniques for “zero defects.” IEEE Transactions on Components, Hybrids, and Manufacturing Technology 6 (3):323–8.
- Crosier, R. B. 1986. A new two-sided cumulative sum quality control scheme. Technometrics 28 (3):187–94.
- Gan, F. F. 1993. An optimal design of CUSUM control charts for binomial counts. Journal of Applied Statistics 20 (4):445–460.
- Lucas, J. M. 1985. Counted data CUSUM’s. Technometrics 27 (2):129–144.
- Lucas, J. M., and R. B. Crosier. 1982. Fast initial response for CUSUM quality control schemes: Give your CUSUM a head start. Technometrics 24 (3):199–205. doi:10.1080/00401706.1982.10487759.
- Lucas, J. M., and M. S. Saccucci. 1990. Exponentially weighted moving average control schemes: Properties and enhancements. Technometrics 32 (1):1–12. doi:10.1080/00401706.1990.10484583.
- Milor, L. 2013. A survey of yield modelling and yield enhancement methods. IEEE Transactions on Semiconductor Manufacturing 26 (2):196–213. doi:10.1109/TSM.2013.2243766.
- Moustakides, G. V. 1986. Optimal stopping times for detecting changes in distributions. Annals of Statistics 14 (4):1379–87.
- Reynolds, M. R., Jr. 2013. The Bernoulli CUSUM chart for detecting decreases in a proportion. Quality and Reliability Engineering International 29 (4):529–34.
- Reynolds, M. R., Jr., and Z. G. Stoumbos. 1999. A CUSUM chart for monitoring a proportion when inspecting continuously. Journal of Quality Technology 31 (1):87–108. doi:10.1080/00224065.1999.11979900.
- Sparks, R. 2018. Adaptive CUSUM for steady state normal data. In Quality management systems - A selective presentation of case-studies showcasing its evolution, ed. Leo D. Kounis, 135–50. Rijeka: InTech. doi:10.5772/intechopen.70752.
- Szarka, J. L., III, and W. H. Woodall. 2011. A review and perspective on surveillance of Bernoulli processes. Quality and Reliability Engineering International 27 (6):735–52. doi:10.1002/qre.1256.
- Szarka, J. L., III, and W. H. Woodall. 2012. On the equivalence of the Bernoulli and geometric CUSUM charts. Journal of Quality Technology 44 (1):54–62. doi:10.1080/00224065.2012.11917881.
- Woodall, W. H. 2017. Bridging the gap between theory and practice in basic statistical process monitoring. Quality Engineering 29 (1):2–15. doi:10.1080/08982112.2016.1210449.
- Zhang, M., X. Hou, Z. He, and Y. Xu. 2017. Performance comparison for the CRL control charts with estimated parameters for high-quality processes. Quality Technology & Quantitative Management 14 (1):31–43. doi:10.1080/16843703.2016.1191143.