Statistical process control using level crossings

DOI10.1080/00949659408811617zbMath0838.62095OpenAlexW2025503902MaRDI QIDQ4869570

Thomas R. Willemain, George C. Runger

Publication date: 26 March 1996

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659408811617

zbMATH Keywords

level crossingstatistical process controlARMA residualsShewhart chartsautocorrelated processesrandom run lengths

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (4)

Statistical process control using run sums ⋮ A runs rule alternative to level crossings in statistical process control ⋮ The Continuous Run Sum Chart ⋮ A control chart for a general Gaussian process

Cites Work

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• Effects of autocorrelation on control chart performance
• A Review of Regenerative Processes
• The Almost Regenerative Method for Stochastic System Simulations
• Performance of CUSUM Control Schemes for Serially Correlated Observations
• Simulating Stable Stochastic Systems: III. Regenerative Processes and Discrete-Event Simulations
• Regeneration-based bootstrap for Markov chains
• Run-Length Distributions of Special-Cause Control Charts for Correlated Processes
• Level-crossing problems for random processes

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