References
- Agresti, A. (2012) Categorical Data Analysis, John Wiley & Sons, New York, NY.
- Apley, D.W. and Lee, H.C. (2003) Design of exponentially weighted moving average control charts for autocorrelated processes with model uncertainty. Technometrics, 45, 187–198.
- Apley, D.W. and Lee, H.C. (2008) Robustness comparison of exponentially weighted moving-average charts on autocorrelated data and on residuals. Journal of Quality Technology, 40, 428–447.
- Apley, D.W. and Tsung, F. (2002) The autoregressive T2 chart for monitoring univariate autocorrelated processes. Journal of Quality Technology, 34, 80–96.
- Box, G.E.P., Jenkins, G.M. and Reinsel, G.C. (2013) Time Series Analysis: Forecasting and Control, John Wiley & Sons, New York, NY.
- Chakraborti, S., van der Laan, P. and Bakir, S.T. (2001) Nonparametric control charts: An overview and some results. Journal of Quality Technology, 33, 304–315.
- Chakraborti, S., Qiu, P. and Mukherjee, A. (2015) Editorial to the special issue: Nonparametric statistical process control charts. Quality and Reliability Engineering International, 31, 1–2.
- Chatterjee, S. and Qiu, P. (2009) Distribution-free cumulative sum control charts using bootstrap-based control limits. The Annals of Applied Statistics, 3, 349–369.
- Hawkins, D.M. (1987) Self-starting CUSUM charts for location and scale. Journal of the Royal Statistical Society. Series D (The Statistician), 36, 299–316.
- Hawkins, D.M. and Olwell, D.H. (1998) Cumulative Sum Charts and Charting for Quality Improvement, Springer-Verlag, New York, NY.
- Lee, H.C. and Apley, D.W. (2011) Improved design of robust exponentially weighted moving average control charts for autocorrelated processes. Quality and Reliability Engineering International, 27, 337–352.
- Li, J. (2017) Nonparametric adaptive CUSUM chart for detecting arbitrary distributional changes, arXiv:1712.05072.
- Li, J. and Qiu, P. (2016) Nonparametric dynamic screening system for monitoring correlated longitudinal data. IIE Transactions, 48, 772–786.
- Li, J., Zhang, X. and Jeske, D.R. (2013) Nonparametric multivariate CUSUM control charts for location and scale changes. Journal of Nonparametric Statistics, 25, 1–20.
- Loredo, E., Jearkpaporn, D. and Borror, C. (2002) Model-based control chart for autoregressive and correlated data. Quality and Reliability Engineering International, 18, 489–496.
- Montgomery, D.C. (2012) Introduction to Statistical Quality Control, John Wiley & Sons, New York, NY.
- Mukherjee, A., Graham, M.A. and Chakraborti, S. (2013) Distribution-free exceedance CUSUM control charts for location. Communications in Statistics—Simulation and Computation, 42, 1153–1187.
- Qiu, P. (2008) Distribution-free multivariate process control based on log-linear modeling. IIE Transactions, 40, 664–677.
- Qiu, P. (2014) Introduction to Statistical Process Control, Chapman Hall/CRC, Boca Raton, FL.
- Qiu, P. (2018) Some perspectives on nonparametric statistical process control. Journal of Quality Technology, 50, 49–65.
- Qiu, P. and Hawkins, D.M. (2001) A rank based multivariate CUSUM procedure. Technometrics, 43, 120–132.
- Qiu, P. and Hawkins, D.M. (2003) A nonparametric multivariate CUSUM procedure for detecting shifts in all directions. JRSS-D (The Statistician), 52, 151–164.
- Qiu, P., Li, W. and Li, J. (2019) A new process control chart for monitoring correlated data. Technometrics. doi:10.1080/00401706.2018.1562988
- Qiu, P. and Li, Z. (2011) On nonparametric statistical process control of univariate processes. Technometrics, 53, 390–405.
- Runger, G. (2002) Assignable causes and autocorrelation: Control charts for observations or residuals? Journal of Quality Technology, 34, 165–170.
- Vermaat, M.B., Does, R. and Bisgaard, S. (2008) EWMA control chart limits for first- and second-order autoregressive processes. Quality and Reliability Engineering International, 24, 573–584.
- Wardell, D.G., Moskowitz, H. and Plante, R.D. (1994) Run-length distributions of special-cause control charts for correlated processes. Technometrics, 36, 3–17.
- Zhang, N.F. (1998) A statistical control chart for stationary process data. Technometrics, 40, 24–38.
- Zou, C., Wang, Z. and Tsung, F. (2012) A spatial rank-based multivariate EWMA control chart. Naval Research Logistics, 59, 91–110.