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The Performance of the MEWMA Control Chart when Parameters are Estimated

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References

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Cited by

2019Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable52 cited
2019A Multivariate Homogeneously Weighted Moving Average Control Chart

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50 cited

2015The Performance of the Multivariate Adaptive Exponentially Weighted Moving Average Control Chart with Estimated Parameters47 cited

2020Performance of the MEWMA‐CoDa control chart in the presence of measurement errors36 cited

2011The performance of multivariate CUSUM control charts with estimated parameters34 cited

2012The Performance of Phase II Simple Linear Profile Approaches when Parameters Are Estimated33 cited

2015Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts32 cited

2018Monitoring compositional data using multivariate exponentially weighted moving average scheme32 cited

2015Optimal designs of the variable sample size and sampling interval X¯ chart when process parameters are estimated26 cited

2021A one-sided exponentially weighted moving average control chart for time between events25 cited

2022A one-sided adaptive truncated exponentially weighted moving average scheme for time between events22 cited

2015Accounting for phase I sampling variability in the performance of the MEWMA control chart with estimated parameters18 cited

2017ARL Numerics for MEWMA Charts18 cited

2013The Effect of Methods for Handling Missing Values on the Performance of the MEWMA Control Chart16 cited

2020On the Efficient Monitoring of Multivariate Processes with Unknown Parameters15 cited

2013Economically Optimal Design of a Multivariate SyntheticT2Chart14 cited