EWMA control charts for monitoring binary processes with applications to medical diagnosis data | Zendy

Weiß Christian H. | Zendy; Atzmüller Martin | Zendy

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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.

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