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Performance of the Control Chart Trend Rule under Linear Shift

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References

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1985Interpreting Shewhart X Control Charts147 cited

Cited by

2014Run Charts Revisited: A Simulation Study of Run Chart Rules for Detection of Non-Random Variation in Health Care Processes86 cited
1999On-line control chart pattern detection and discrimination—a neural network approach81 cited
1999A neural network approach to characterize pattern parameters in process control charts73 cited
2016Bridging the gap between theory and practice in basic statistical process monitoring65 cited
1998Robustness of Forecast-Based Monitoring Schemes54 cited
1991False Signal Rates for the Shewhart Control Chart with Supplementary Runs Tests52 cited
2014Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines45 cited
2011Adaptive EWMA procedures for monitoring processes subject to linear drifts45 cited
2013Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble42 cited
2005

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Designs of control charts with supplementary runs rules

42 cited

2004A Performance Analysis of Hotelling's χ 2 Control Chart with Supplementary Runs Rules41 cited

2001Individuals control schemes for monitoring the mean and variance of processes subject to drifts40 cited

2008Real-time recognition of control chart patterns in autocorrelated processes using a learning vector quantization network-based approach39 cited

2010A control chart based on likelihood ratio test for detecting patterned mean and variance shifts38 cited

2008Recognizing control chart patterns with neural network and numerical fitting38 cited

2012Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine36 cited