EWMA Control Charts for Monitoring High Yield Processes

DOI10.1080/03610926.2011.635256zbMath1283.62242OpenAlexW2012605549MaRDI QIDQ2864682

Farmakis Nicolas, Eleftheriou Mavroudis

Publication date: 26 November 2013

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.635256

zbMATH Keywords

Markov chainsstatistical process controlaverage run lengthgeometric counts

Mathematics Subject Classification ID

Cites Work

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• Statistical process control using Shewhart control charts with supplementary runs rules
• EWMA control charts for monitoring high-yield processes based on non-transformed observations
• A One-Sided EWMA Control Chart for Monitoring Process Means
• An approach to the probability distribution of cusum run length

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