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Interval Charting Schemes for Joint Monitoring of Process Mean and Variance

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References

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Cited by

2010Simultaneous process mean and variance monitoring using artificial neural networks36 cited
2011A sum of squares double exponentially weighted moving average chart36 cited
2016Design and Implementation of Two CUSUM Schemes for Simultaneously Monitoring the Process Mean and Variance with Unknown Parameters28 cited
2018

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Two CUSUM schemes for simultaneous monitoring of parameters of a shifted exponential time to events

27 cited

2019Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes25 cited

2022A literature review on joint control schemes in statistical process monitoring25 cited

2019A comparative study of some EWMA schemes for simultaneous monitoring of mean and variance of a Gaussian process23 cited

2019Control charts for simultaneously monitoring of process mean and coefficient of variation with and without auxiliary information23 cited

2015A double-max MEWMA scheme for simultaneous monitoring and fault isolation of multivariate multistage auto-correlated processes based on novel reduced-dimension statistics22 cited

2019Joint Monitoring of Mean and Variance Using Likelihood Ratio Test Statistic Under Pair Ranked Set Sampling Scheme20 cited

2014A Sum of Squares Generally Weighted Moving Average Control Chart19 cited

2016On the Performance of Control Charts for Simultaneous Monitoring of Location and Dispersion Parameters18 cited

2016Detecting change-points for shifts in mean and variance using fuzzy classification maximum likelihood change-point algorithms17 cited

2009Using one EWMA chart to jointly monitor the process mean and variance16 cited

2018A weighted likelihood ratio test-based chart for monitoring process mean and variability15 cited

2020Joint monitoring of mean and variance under double ranked set sampling using likelihood ratio test statistic11 cited