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Correction

Correction

This article refers to:
Monitoring the coefficient of variation using variable sampling interval CUSUM control charts

Article title: Monitoring the Coefficient of Variation using Variable Sampling Interval CUSUM control charts

Authors: P. H. Tran and C. Heuchenne

Journal: Journal of Statistical Computation and Simulation

DOI: 10.1080/00949655.2020.1819278

When this article was first published, an inadvertent error occurred. Few sentences in the second paragraph of the article opening page were missed out. The missed-out sentences included some reference citations.

This has been corrected in the online version.

The corrected sentence and the references list read as follows:

In the year 2007, Kang et al. [6] firstly suggested a Shewhart control chart for monitoring the CV. Although having an advantage of an easy-to-design control chart, the Shewhart chart is well-known to be inefficient in detecting small or moderate process shifts. For this reason, many other control schemes have been proposed. Castagliola et al. [4] used the exponentially weighted moving average (EWMA) type chart for monitoring the CV squared and applied this chart to track the pressure drop time related to the pore shrinkage in a metal sintering process. A synthetic type chart and a cumulative sum (CUSUM) type chart for monitoring the CV are investigated by Calzada and Scariano [7] and Tran and Tran [8], respectively.

References

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