EconPapers    
Economics at your fingertips  
 

Methods and evaluations for surveillance in industry, business, finance, and public health

Marianne Frisén

No 2011:3, Research Reports from University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law

Abstract: An overview on surveillance in different areas is given. Even though methods have been developed under different scientific cultures, the statistical concepts can be the same. When the statistical problems are the same, progress in one area can be used also in other areas. The aim of surveillance is to detect an important change in an underlying process as soon as possible after the change has occurred. In practice, we have complexities such as gradual changes and multivariate settings. Approaches to handling some of these complexities are discussed. The correspondence between the measures for evaluation and the aims of the ap-plication is important. Thus, the choice of evaluation measure deserves attention. The com-monly used ARL criterion should be used with care.

Keywords: expected delay; gradual change; likelihood ratio; monitoring; multivariate surveillance (search for similar items in EconPapers)
JEL-codes: C10 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2011-02-10
New Economics Papers: this item is included in nep-cis, nep-ecm and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published as Frisén, Marianne, 'Methods and evaluations for surveillance in industry, business, finance, and public health' in Quality and Reliability Engineering International, 2011, pages 611-621.

Downloads: (external link)
http://gupea.ub.gu.se/handle/2077/24394 (application/pdf)

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:hhs:gunsru:2011_003

Access Statistics for this paper

More papers in Research Reports from University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law Statistical Research Unit, University of Gothenburg, Box 640, SE 40530 GÖTEBORG.
Bibliographic data for series maintained by Linus Schiöler ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-30
Handle: RePEc:hhs:gunsru:2011_003