A Control Chart for the Coefficient of Variation

By C. Kang, Man-Seok Lee, Y. Seong, Douglas M. Hawkins. 2007

165 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4539728fb02d335cbbe59e85c512f29c808e9cfe

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In Statistics and Probability

Citations in the corpus

Monitoring the Coefficient of Variation Using Control Charts with Run Rules (2013, methodology): “[16] and detect small shifts more efficiently.”
Monitoring the coefficient of variation using a variable sample size control chart in short production runs (2015, methodology): “[1] were the first to develop a Shewhart-type control chart for monitoring the CV using rational subgroups and applied it to a clinical chemistry-control process, where neither the process mean nor the variance is constant, to show that the CV is a potentially attractive tool to perform on-line qual”
One-Sided Shewhart-type Charts for Monitoring the Coefficient of Variation in Short Production Runs (2015, methodology): “[14]’s paper, the CV is monitored through a Shewhart-type chart, making this chart sensitive to large shifts in the CV but not very sensitive to small to moderate shifts.”
Monitoring the coefficient of variation using a variable sample size control chart (2015, methodology): “In [12], the CV is monitored by implementing a Shewharttype chart, which is only sensitive to large shifts in the CV.”
Monitoring the ratio of two normal variables using Run Rules type control charts (2016, background): “It is important to note that monitoring the ratio of two normal random variables X and Y is different from monitoring the sample coefficient of variation as considered, for instance, by Kang et al. (2007), Castagliola, Celano, and Psarakis (2011), Calzada and Scariano (2013) and Zhang et al. (2014).”
Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart (2017, methodology): “Readers are suggested to refer to Kang et al. (2007), Calzada and Scariano (2013), Castagliola et al. (2011), and Castagliola et al. (2013b) for the designs of the SH-γ, Syn-γ, EWMA-γ2, and VSI-γ charts, respectively.”
A synthetic control chart for the coefficient of variation (2013, methodology): “[1] CV chart and the SynCV chart to be discussed in the next section are designed to monitor increases in γ , this paper will only consider the upward EWMA-γ 2 chart defined as”
Monitoring the Coefficient of Variation Using EWMA Charts (2011, methodology): “The performance of this two-sided EWMA chart has been compared with the Shewhart-type chart proposed by Kang et al. (2007) only in the case of a 25% and a 50% increase of the coefficient of variation, but the decreasing case has not been investigated at all.”