Weighted adaptive multivariate CUSUM charts with variable sampling intervals

References

• Lowry CA, Montgomery DC. A review of multivariate control charts. IIE Trans. 1995;27(6):800–810. doi: 10.1080/07408179508936797
   Web of Science ®Google Scholar
• Bersimis S, Psarakis S, Panaretos J. Multivariate statistical process control charts: an overview. Qual Reliab Eng Int. 2007;23(5):517–543. doi: 10.1002/qre.829
   Web of Science ®Google Scholar
• Crosier RB. Multivariate generalizations of cumulative sum quality-control schemes. Technometrics. 1988;30(3):291–303. doi: 10.1080/00401706.1988.10488402
   Web of Science ®Google Scholar
• Pignatiello JJ, Runger GC. Comparisons of multivariate CUSUM charts. J Qual Technol. 1990;22(3):173–186. doi: 10.1080/00224065.1990.11979237
   Web of Science ®Google Scholar
• Lowry CA, Woodall WH, Champ CW, et al. A multivariate exponentially weighted moving average control charts. Technometrics. 1992;34(1):46–53. doi: 10.2307/1269551
   Web of Science ®Google Scholar
• Lee MH. Multivariate EWMA charts with variable sampling intervals. Econ Qual Control. 2009;24(2):231–241. doi: 10.1515/EQC.2009.231
   Google Scholar
• Mahmoud MA, Zahran AR. A multivariate adaptive exponentially weighted moving average control chart. Commun Stat Theory Methods. 2010;39(4):606–625. doi: 10.1080/03610920902755813
   Web of Science ®Google Scholar
• Dai Y, Luo Y, Li Z, et al. A new adaptive CUSUM control chart for detecting the multivariate process mean. Qual Reliab Eng Int. 2011;27(7):877–884. doi: 10.1002/qre.1177
   Web of Science ®Google Scholar
• Wang T, Huang S. An adaptive multivariate CUSUM control chart for signaling a range of location shifts. Commun Stat Theory Methods. 2016;45(16):4673–4691. doi: 10.1080/03610926.2014.927494
   Web of Science ®Google Scholar
• Haq A. Weighted adaptive multivariate CUSUM control charts. Qual Reliab Eng Int. 2018;34(5):939–952. doi: 10.1002/qre.2294
   Web of Science ®Google Scholar
• Woodall WH, Ncube MM. Multivariate CUSUM quality-control procedures. Technometrics. 1985;27(3):285–292. doi: 10.1080/00401706.1985.10488053
   Web of Science ®Google Scholar
• Healy JD. A note on multivariate CUSUM procedures. Technometrics. 1987;29(4):409–412. doi: 10.1080/00401706.1987.10488268
   Web of Science ®Google Scholar
• Prabhu SS, Runger GC. Designing a multivariate EWMA control chart. J Qual Technol. 1997;29(1):8–15. doi: 10.1080/00224065.1997.11979720
   Web of Science ®Google Scholar
• Qiu P, Hawkins D. A rank-based multivariate CUSUM procedure. Technometrics. 2001;43(2):120–132. doi: 10.1198/004017001750386242
   Web of Science ®Google Scholar
• Lee MH, Khoo MBC. Optimal statistical designs of a multivariate CUSUM chart based on ARL and MRL. Int J Reliab Qual Safety Eng. 2006;13(5):479–497. doi: 10.1142/S0218539306002380
   Google Scholar
• Ghute VB, Shirke DT. A multivariate synthetic control chart for process dispersion. Qual Technol Quant Manag. 2008;5(3):271–288. doi: 10.1080/16843703.2008.11673401
   Google Scholar
• Lee MH. The design of the multivariate synthetic exponentially weighted moving average control chart. Commun Stat Simul Comput. 2012;41(10):1785–1793. doi: 10.1080/03610918.2011.620205
   Web of Science ®Google Scholar
• Lee MH, Khoo MBC, Xie M. An optimal control procedure based on multivariate synthetic cumulative sum. Qual Reliab Eng Int. 2014;30(7):1049–1058. doi: 10.1002/qre.1533
   Web of Science ®Google Scholar
• Flury MI, Quaglino MB. Multivariate EWMA control chart with highly asymmetric gamma distributions. Qual Technol Quant Manag. 2016;15(2):230–252. doi: 10.1080/16843703.2016.1208937
   Web of Science ®Google Scholar
• Ajadi JO, Riaz M. Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring. Commun Stat Theory Methods. 2017;46(14):6980–6993. doi: 10.1080/03610926.2016.1139132
   Web of Science ®Google Scholar
• Abdella GM, Al-Khalifa KN, Kim S, et al. Variable selection-based multivariate cumulative sum control chart. Qual Reliab Eng Int. 2017;33(3):565–578. doi: 10.1002/qre.2041
   Web of Science ®Google Scholar
• Khatun M, Khoo MBC, Yeong WC, et al. Adaptive multivariate double sampling and variable sampling interval Hotelling's t2 charts. Qual Reliab Eng Int. 2018;34(5):894–911. doi: 10.1002/qre.2299
   Web of Science ®Google Scholar
• Nidsunkid S, Borkowski JJ, Budsaba K. The effects of violations of the multivariate normality assumption in multivariate Shewhart and MEWMA control charts. Qual Reliab Eng Int. 2018;33(8):2563–2576. doi: 10.1002/qre.2218
   Web of Science ®Google Scholar
• Tran KP, Castagliola P, Celano G, et al. Monitoring compositional data using multivariate exponentially weighted moving average scheme. Qual Reliab Eng Int. 2018;34(3):391–402. doi: 10.1002/qre.2260
   Web of Science ®Google Scholar
• Reynolds MR Jr., Amin RW, Arnold JC. CUSUM charts with variable sampling intervals. Technometrics. 1990;32(4):371–384. doi: 10.1080/00401706.1990.10484721
   Web of Science ®Google Scholar