References
- Crosier RB. Multivariate generalizations of cumulative sum quality-control schemes. Technometrics. 1988;30(3):291–303.
- Pignatiello JJ, Runger GC. Comparisons of multivariate CUSUM charts. J Qual Technol. 1990;22(3):173–186.
- Lowry CA, Montgomery DC. A review of multivariate control charts. IIE Trans. 1995;27(6):800–810.
- Lowry CA, Woodall WH, Champ CW, et al. A multivariate exponentially weighted moving average control charts. Technometrics. 1992;34(1):46–53.
- Prabhu SS, Runger GC. Designing a multivariate EWMA control chart. J Qual Technol. 1997;29(1):8–15.
- Bersimis S, Psarakis S, Panaretos J. Multivariate statistical process control charts: an overview. Qual Reliab Eng Int. 2007;23(5):517–543.
- Fricker RDJ. Directionally sensitive multivariate statistical process control procedures with application to syndromic surveillance. Adv Dis Surveill. 2007;3(1):1–17.
- Joner MD Jr, Woodall WH, Reynolds MR Jr, et al. A one-sided MEWMA chart for health surveillance. Qual Reliab Eng Int. 2008;24(5):503–518.
- 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.
- Alkahtani S, Schaffer J. A double multivariate exponentially weighted moving average (dEWMA) control chart for a process location monitoring. Commun Statist Simul Comput. 2012;41(2):238–252.
- Lee MH. The design of the multivariate synthetic exponentially weighted moving average control chart. Commun Statist Simul Comput. 2012;41(10):1785–1793.
- Park J, Jun CH. A new multivariate EWMA control chart via multiple testing. J Process Control. 2015;26:51–55.
- Qiu P, Hawkins D. A rank-based multivariate CUSUM procedure. Technometrics. 2001;43(2):120–132.
- Runger GC, Prabhu SS. A markov chain model for the multivariate exponentially weighted moving averages control chart. J Am Stat Assoc. 1996;91(436):1701–1706.
- Wang T, Huang S. An adaptive multivariate CUSUM control chart for signaling a range of location shifts. Commun Statist Theory Methods. 2016;45(16):4673–4691.
- Aly AA, Mahmoud MA, Hamed R. The performance of the multivariate adaptive exponentially weighted moving average control chart with estimated parameters. Qual Reliab Eng Int. 2016;32(3):957–967.
- Ajadi JO, Riaz M. Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring. Commun Statist Theory Methods. 2017;46(14):6980–6993.
- Khusna H, Mashuri M, Ahsan M, et al. Bootstrap-based maximum multivariate CUSUM control chart. Qual Technol Quant Manag. 2018;1–23.
- Lim AJX, Khoo MBC, Teoh WL, et al. Run sum chart for monitoring multivariate coefficient of variation. Comput Ind Eng. 2017;109:84–95.
- Abbasi SA, Adegoke NA. Multivariate coefficient of variation control charts in phase I of SPC. Int J Adv Manuf Technol. 2018;99(5–8):1903–1916.
- Adegoke NA, Smith ANH, Anderson MJ, et al. Shrinkage estimates of covariance matrices to improve the performance of multivariate cumulative sum control charts. Comput Ind Eng. 2018;117:207–216.
- Adegoke NA, Abbasi SA, Smith ANH, et al. A multivariate homogeneously weighted moving average control chart. IEEE Access. 2019;7:9586–9597.
- Haq A. Weighted adaptive multivariate CUSUM control charts. Qual Reliab Eng Int. 2018;34(5):939–952.
- Haq A, Khoo MBC. An adaptive multivariate EWMA chart. Comput Ind Eng. 2019;127:549–557.
- Haq A, Khoo MBC. Memory-type multivariate control charts with auxiliary information for process mean. Qual Reliab Eng Int. 2019;35(1):192–203.
- Haq A, Khoo MBC. New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation. Comput Ind Eng. 2019;131:28–40.
- Shu L, Jiang W, Wu S. A one-sided EWMA control chart for monitoring process means. Commun Statist Simul Comput. 2007;36(4):901–920.
- Roberts SW. Control chart tests based on geometric moving averages. Technometrics. 1959;1(3):239–250.
- Santos-Fernández E. Multivariate statistical quality control using R. 1st ed. New York: Springer-Verlag; 2013.