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EWMA control charts for monitoring binary processes with applications to medical diagnosis data
Author(s) -
Weiß Christian H.,
Atzmüller Martin
Publication year - 2010
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1098
Subject(s) - ewma chart , control chart , statistical process control , binary number , skewness , statistics , control limits , documentation , computer science , process (computing) , data mining , reliability engineering , engineering , mathematics , arithmetic , operating system , programming language
To monitor a binary process, exponentially weighted moving average (EWMA) control charts in different variations are proposed. The average run length performance of the EWMA approach both with standard and with skewness‐corrected 3‐ σ control limits is investigated and design recommendations are derived. The proposed EWMA control charts are applied to medical diagnosis data taken from the diagnostic expert system S ONO C ONSULT in order to provide a semi‐automatic component for monitoring the documentation behavior of different examiners. Copyright © 2010 John Wiley & Sons, Ltd.