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The CUSUM and the EWMA Head-to-Head

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References

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2006Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance

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2016Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts57 cited
2016The efficiency of CUSUM schemes for monitoring the coefficient of variation57 cited
2019An EWMA control chart for categorical processes with applications to social network monitoring52 cited
2018A modified CUSUM control chart for monitoring industrial processes45 cited
2020On the design of control charts with guaranteed conditional performance under estimated parameters38 cited
2016A head-to-head comparative study of the conditional performance of control charts based on estimated parameters35 cited
2021The extended homogeneously weighted moving average control chart25 cited
2018Effect of autocorrelation estimators on the performance of the X control chart22 cited
2022Multivariate cumulative sum control chart for compositional data with known and estimated process parameters22 cited
2022An Adaptive EWMA Control Chart Based on Principal Component Method to Monitor Process Mean Vector22 cited
2023Efficient CUSUM control charts for monitoring the multivariate coefficient of variation22 cited
2019An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring20 cited
2023An unbiased function‐based Poisson adaptive EWMA control chart for monitoring range of shifts19 cited
2021Adaptive CUSUM Location Control Charts Based on Score Functions: An Application in Semiconductor Wafer Field15 cited
2022Improved control chart performance using cautious parameter learning14 cited
2019A new auxiliary information based cumulative sum median control chart for location monitoring14 cited