THE ROBUSTNESS OF THE SYNTHETIC CONTROL CHART TO NON-NORMALITY

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Optimal design of the synthetic chart for the process mean based on median run length (2012, methodology): “Calzada and Scariano (2001) studied the robustness of the synthetic chart to non-normality. Davis and Woodall (2002) altered the synthetic chart of Wu and Spedding (2000) to achieve better Average Run Length (ARL) performance. Chen and Huang (2005) and Huang and Chen (2005) proposed synthetic charts”
The Generalized Synthetic Chart (2009, methodology): “Calzada and Scariano (2007) developed equations for the first and second moments and for the probability distribution of a two-sided joint (CUSUM-S2), which can be adapted to compute the moments and probability distribution of TC .”
A synthetic double sampling control chart for the process mean (2010, methodology): “A proof for ARLS(δ) is given by Wu and Spedding (2000) and Calzada and Scariano (2001), to name a few.”
A synthetic control chart for the coefficient of variation (2013, background): “Calzada and Scariano 15 evaluated the robustness characteristics of the synthetic control chart, while Davis and Woodall 16 discussed ways to improve the synthetic control charting procedures.”