Robustness to non-normality and autocorrelation of individuals control charts

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A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements (2011, methodology): “025 were suggested by Stoumbos and Reynolds ( 2000 ) and Stoumbos and Sullivan ( 2002 ) for the traditional EWMA chart and they are seen to apply for the nonparametric EWMA-SN chart as well.”
An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion (2005, methodology): “The performance of the EWMA charts for the dispersion under non normality appears to have been studied so far only by Stoumbos and Reynolds (2000).”
A study of EWMA chart with transformed exponential data (2007, background): “Another favourable property of the EWMA chart is its robustness to nonnormality (Borror et al. 1999, Stoumbos and Reynolds 2000, Maravelakis et al. 2005), which is beneficial for transformation scheme since the data after transformation will not strictly follow normal distribution even if a proper…”
Individuals control schemes for monitoring the mean and variance of processes subject to drifts (2001, methodology): “1: Instead of using a single two-sided EWMA chart, we use two individual one-sided EWMA charts run in parallel, because the two-chart schemes are robust to potential inertial problems in the EWMA statistics that can increase the delay in detecting process changes (see Reynolds and Stoumbos [8], Stou”