Runs rules schemes for monitoring process variability

DOI10.1080/02664760903002683OpenAlexW2080155758MaRDI QIDQ5123608

Demetrios L. Antzoulakos, Athanasios C. Rakitzis

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903002683

zbMATH Keywords

optimizationstandard deviationaverage run lengthruns rulesMarkov chain embedding techniqueshewhart control charts

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach ⋮ Controlling bivariate categorical processes using scan rules ⋮ On the improvement of one-sidedScontrol charts ⋮ On the individuals chart with supplementary runs rules under serial dependence ⋮ Control charts with switching and sensitizing runs rules for monitoring process variation ⋮ Monitoring exponential data using two-sided control charts with runs rules ⋮ Variable Sampling Interval Cumulative Count of Conforming Chart with Runs Rules

Cites Work

• Statistical process control using Shewhart control charts with supplementary runs rules
• Waiting times for patterns in a sequence of multistate trials
• CONTROL CHARTS WITH WARNING LINES
• Exact Results for Shewhart Control Charts with Supplementary Runs Rules
• Distribution Theory of Runs: A Markov Chain Approach
• Modified S-charts for controlling process variability
• The performance of control charts for monitoring process variation
• The ModifiedrOut ofmControl Chart
• An approach to the probability distribution of cusum run length
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