References
[1] Yeong WC, Khoo MBC, Tham LK, et al. "Monitoring the coefficient of variation using a variable sampling interval EWMA chart", Journal of Quality Technology, 49(4), pp. 380-401 (2017).
[2] Kang CW, Lee MS, Seong YJ, et al. "A control chart for the coefficient of variation", Journal of Quality Technology, 39(2), pp. 151-158 (2007).
[3] Hong E-P, Kang C-W, Baek J-W, et al. "Development of CV control chart using EWMA technique", Journal of the Society of Korea Industrial and Systems Engineering, 31(4), pp. 114-120 (2008).
[4] Castagliola P, Celano G, Psarakis S. "Monitoring the coefficient of variation using EWMA charts", Journal of Quality Technology, 43(3), pp. 249-265 (2011).
[5] Calzada ME, Scariano SM. "A synthetic control chart for the coefficient of variation", Journal of Statistical Computation and Simulation, 83(5), pp. 853-867 (2013).
[6] Zhang J, Li Z, Chen B, et al. "A new exponentially weighted moving average control chart for monitoring the coefficient of variation", Computers & Industrial Engineering, 78, pp. 205-212 (2014).
[7] Zhang J, Li Z, Wang Z. "Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure", Quality and Reliability Engineering International, 34(2), pp. 188-202 (2018).
[8] Shu L, Jiang W. "A new EWMA chart for monitoring process dispersion", Journal of Quality Technology, 40(3), pp. 319-331 (2008).
[9] Haq A, Khoo MBC. "New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation", Computers & Industrial Engineering, 131, pp. 28-40 (2019).
[10] Castagliola P, Achouri A, Taleb H, et al. "Monitoring the coefficient of variation using control charts with run rules", Quality Technology & Quantitative Management, 10(1), pp. 75-94 (2013).
[11] Chen R, Li Z, Zhang J. "A generally weighted moving average control chart for monitoring the coefficient of variation", Applied Mathematical Modelling, 70, pp. 190-205 (2019).
[12] Teoh WL, Khoo MBC, Castagliola P, et al. "Run-sum control charts for monitoring the coefficient of variation", European Journal of Operational Research, 257(1), pp. 144-158 (2017).
[13] Hu X, Zhang S, Zhou X, et al. "The performance of double exponentially weighted moving average control charts for monitoring the coefficient of variation (under review)", Communications in Statistics - Simulation and Computation, pp. (2021).
[14] Jalilibal Z, Amiri A, Castagliola P, et al. "Monitoring the Coefficient of Variation: A Literature Review", Computers & Industrial Engineering, pp. 107600 (2021).
[15] Saccucci MS, Amin RW, Lucas JM. "Exponentially weighted moving average control schemes with variable sampling intervals", Communications in Statistics - Simulation and Computation, 21(3), pp. 627-657 (1992).
[16] Shamma SE, Amin RW, Shamma AK. "A double exponentially weigiited moving average control procedure with variable sampling intervals", Communications in Statistics - Simulation and Computation, 20(2-3), pp. 511-528 (1991).
[17] Castagliola P, Celano G, Fichera S, et al. "A variable sample size S2-EWMA control chart for monitoring the process variance", International Journal of Reliability, Quality and Safety Engineering, 15(03), pp. 181-201 (2008).
[18] Haq A, Akhtar S. "Auxiliary information based maximum EWMA and DEWMA charts with variable sampling intervals for process mean and variance", Communications in Statistics - Theory and Methods, pp. 1-21 (2020).
[19] Reynolds MR, Amin RW, Arnold JC. "CUSUM charts with variable sampling intervals", Technometrics, 32(4), pp. 371-384 (1990).
[20] Reynolds MR, Arnold JC. "EWMA control charts with variable sample sizes and variable sampling intervals", IIE Transactions, 33(6), pp. 511-530 (2001).
[21] Castagliola P, Achouri A, Taleb H, et al. "Monitoring the coefficient of variation using a variable sampling interval control chart", Quality and Reliability Engineering International, 29(8), pp. 1135-1149 (2013).
[22] Khaw KW, Khoo MBC, Yeong WC, et al. "Monitoring the coefficient of variation using a variable sample size and sampling interval control chart", Communications in Statistics - Simulation and Computation, 46(7), pp. 5772-5794 (2017).
[23] Muhammad ANB, Yeong WC, Chong ZL, et al. "Monitoring the coefficient of variation using a variable sample size EWMA chart", Computers & Industrial Engineering, 126, pp. 378-398 (2018).
[24] Nguyen HD, Nguyen QT, Tran KP, et al. "On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors", The International Journal of Advanced Manufacturing Technology, 104(1), pp. 211-243 (2019).
[25] Tran PH, Heuchenne C. "Monitoring the coefficient of variation using variable sampling interval CUSUM control charts", Journal of Statistical Computation and Simulation, 91(3), pp. 501-521 (2021).
[26] Breunig R. "An almost unbiased estimator of the coefficient of variation", Economics Letters, 70(1), pp. 15-19 (2001).
[27] Shamma S, Shamma AK. "Development and evaluation of control charts using double exponentially weighted moving averages", International Journal of Quality & Reliability Management, 9, pp. (1992).
[28] Hamilton MD, Crowder SV. "Average run lengths of EWMA control charts for monitoring a process standard deviation", Journal of Quality Technology, 24(1), pp. 44-50 (1992).
[29] Ryan AG, Woodall WH. "Control charts for poisson count data with varying sample sizes", Journal of Quality Technology, 42(3), pp. 260-275 (2010).
[30] Xu S, Jeske DR. "Weighted EWMA charts for monitoring type I censored weibull lifetimes", Journal of Quality Technology, 50(2), pp. 220-230 (2018).
[31] Dickinson RM, Roberts DAO, Driscoll AR, et al. "CUSUM Charts for Monitoring the Characteristic Life of Censored Weibull Lifetimes", Journal of Quality Technology, 46(4), pp. 340-358 (2014).
[32] Qiu P, Li Z. "Distribution-free monitoring of univariate processes", Statistics & Probability Letters, 81(12), pp. 1833-1840 (2011).