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INFERENCE PRINCIPLES FOR MULTIVARIATE SURVEILLANCE


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Title: INFERENCE PRINCIPLES FOR MULTIVARIATE SURVEILLANCE
Authors: Frisén, Marianne
Issue Date: 29-Mar-2011
Extent: 13
Publication type: article, other scientific
Organization: Statistical Research Unit, Department of Economics, GU
Series/Report no.: Research Report
2011:5
Keywords: Sequential
Surveillance
Multivariate
Sufficiency
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 finance. Multivariate counterparts to the univariate Shewhart, EWMA and CUSUM methods have earlier been proposed. A review of general approaches to multivariate surveillance is given with respect to how suggested methods relate to... more
URI: http://hdl.handle.net/2077/25008
Appears in Collections:Research Report

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