The Steady-State Performance of Cumulative Count of a Conforming Control Chart Based On Runs Rules

DOI10.1080/03610926.2012.694548zbMath1297.93154OpenAlexW2083146753MaRDI QIDQ2921862

Shashikant Kuber Khilare, Digambar T. Shirke

Publication date: 14 October 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.694548

zbMATH Keywords

Markov chainaverage run lengthhigh-yield processesstandard deviation of run lengthsteady-state and percentiles

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35)

Related Items (2)

Economic-statistical design of control chart with runs rules for correlation within sample ⋮ A new economic scheme for CCC charts with run rules based on average number of inspected items

Cites Work

• Comparison of \(p\) control charts for low defective rate
• The optimal choice of negative binomial charts for monitoring high-quality processes
• On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes
• Reduction of control-chart signal variablity for high-quality processes
• An approach to the probability distribution of cusum run length

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