Principles for Multivariate Surveillance
Abstract: 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
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 sur-veillance methods.
Keywords: Surveillance; Multivariate; (follow links to similar papers)
JEL-Codes: C10; (follow links to similar papers)
14 pages, January 1, 2007
- This paper is published as:
Frisén, Marianne, (2010), 'Principles for Multivariate Surveillance' in Lenz, Hans-Joachim (ed.) Frontiers in Statistical Quality Control, pages 133-144, Springer.
Questions (including download problems) about the papers in this series should be directed to Linus Schiöler ()
Report other problems with accessing this service to Sune Karlsson ()
or Helena Lundin ().
Design by Joachim Ekebom