Misguided Statistical Process Monitoring Approaches

William H. Woodall (), Nesma A. Saleh (), Mahmoud A. Mahmoud (), Víctor G. Tercero-Gómez () and Sven Knoth ()
Additional contact information
William H. Woodall: Virginia Tech
Nesma A. Saleh: Cairo University, Faculty of Economics & Political Science
Mahmoud A. Mahmoud: Cairo University, Faculty of Economics & Political Science
Víctor G. Tercero-Gómez: Tecnologico de Monterrey, Monterrey
Sven Knoth: Helmut Schmidt University Hamburg, Institute of Mathematics and Statistics

A chapter in Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science, 2024, pp 211-220 from Springer

Abstract: Abstract Hundreds of papers on flawed statistical process monitoring (SPM) methods 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.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-69111-9_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031691119

DOI: 10.1007/978-3-031-69111-9_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().