Principles for Multivariate Surveillance

Marianne Frisén
Additional contact information
Marianne Frisén: Statistical Research Unit, Department of Economics, Göteborg University

A chapter in Frontiers in Statistical Quality Control 9, 2010, pp 133-144 from Springer

Abstract: Summary Multivariate surveillance is of interest in industrial production as it enables the monitoring of several components. Recently there has been an increased interest also in other areas such as detection of bioterrorism, spatial surveillance and transaction strategies in finance. Several types of multivariate counterparts to the univariate Shewhart, EWMA and CUSUM methods have been proposed. Here a review of general approaches to multivariate surveillance is given with respect to how suggested methods relate to general statistical inference principles. Suggestions are made on the special challenges of evaluating multivariate surveillance methods.

Keywords: Control Chart; Quality Technology; Syndromic Surveillance; Surveillance Method; Alarm Statistic (search for similar items in EconPapers)
Date: 2010
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:978-3-7908-2380-6_9

Ordering information: This item can be ordered from
http://www.springer.com/9783790823806

DOI: 10.1007/978-3-7908-2380-6_9

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 ().