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Time and magnitude monitoring based on the renewal reward process

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References

1992Introduction to Statistical Quality Control7,842 cited
2014Some Current Directions in the Theory and Application of Statistical Process Monitoring334 cited
2002Some effective control chart procedures for reliability monitoring271 cited
2016An Overview of Control Charts for High‐quality Processes139 cited
2008A control scheme for monitoring the frequency and magnitude of an event68 cited
2009A single control chart for monitoring the frequency and magnitude of an event59 cited
2015Recent Advances and Future Directions for Quality Engineering40 cited
2013A CUSUM scheme for event monitoring40 cited
2016High quality process monitoring using a class of inter-arrival time distributions of the renewal process39 cited

Cited by

2020Evaluation of Shewhart time‐between‐events‐and‐amplitude control charts for correlated data18 cited
2021A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates15 cited
2021Max‐EWMA chart for time and magnitude monitoring using exponentially modified Gaussian distribution15 cited
2023Monitoring negative sentiment scores and time between customer complaints via one-sided distribution-free EWMA schemes14 cited
2020Monitoring time and magnitude based on the renewal reward process with a random failure threshold

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14 cited

2021First passage time control charts assuming power law intensity for time to jointly monitor time and magnitude12 cited

2020A Comparison of Shewhart-Type Time-Between-Events Control Charts Based on the Renewal Process11 cited

2022Max-EWMA chart for time and magnitude monitoring using generalized exponential distribution11 cited

2023Simultaneous monitoring of multivariate time between events and their magnitude using multivariate marked Hawkes point process10 cited