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Misguided statistical process monitoring approaches

Publication date
2024-10-23
Document type
Sammelbandbeitrag oder Buchkapitel
Author
Woodall, William H.
Saleh, Nesma A.
Mahmoud, Mahmoud A.
Tercero-Gómez, Víctor G.
Knoth, Sven  
Organisational unit
Rechnergestützte Statistik  
DOI
10.1007/978-3-031-69111-9_10
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/21930
Scopus ID
2-s2.0-105006859552
Publisher
Springer Nature Switzerland
Book title
Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science
ISBN
978-3-031-69111-9
First page
211
Last page
220
Is part of
https://openhsu.ub.hsu-hh.de/handle/10.24405/22041
Part of the university bibliography
✅
Additional Information
Language
English
Abstract
Hundreds of papers on flawed statistical process monitoring (SPM) meth ods have appeared in the literature over the past decade or so. The presence of so many ill-advised methods, and so much incorrect theory, adversely affects the SPM research field. Critiques of some of the various misguided, and/or misrepresented, approaches have been published in the past 2 years in an effort to stem this tide. These critiques are briefly reviewed here.
Version
Published version
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