Controlling bivariate categorical processes using scan rules

DOI10.1007/S11009-016-9508-5zbMath1387.60115OpenAlexW2468299468MaRDI QIDQ1694510

Sotirios Bersimis, Philippe Castagliola, Athanasios Sachlas

Publication date: 2 February 2018

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-016-9508-5

zbMATH Keywords

waiting time distributionsmultivariate statistical process controlMarkov chain embeddable random variablesmulti-attribute processes

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Probability distributions: general theory (60E05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

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• A Nonparametric Shewhart-Type Signed-Rank Control Chart Based on Runs
• Exact Results for Shewhart Control Charts with Supplementary Runs Rules
• Coupled Error Spending Functions for Parallel Bivariate Sequential Tests
• Guidelines for Monitoring Efficacy and Toxicity Responses in Clinical Trials
• Runs rules schemes for monitoring process variability

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