Abstract :
[en] Due to several applications in applied statistics, there is an increasing attention to
the coefficient of variation (CV) in quality control. In this paper, we propose investigating the
effect of measurement errors on the performance of one-sided cumulative sum (CUSUM) control
charts monitoring the CV. According to the simulated results, the precision and accuracy errors
have considerable influence on the performance of the CUSUM control charts. It is also shown
that increasing the number of times measuring an item in the linear covariate error model
insignificantly improves the proposed chart performance
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