). By continually monitoring these indicators, we can early detect a change in the process of interest. The methodology of … statistical surveillance is used. Often, the conclusions about the process(es) of interest is improved if the surveillance is … based on several indicators. Here three systems for multivariate surveillance are compared. One system, called LRpar, is …

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 … have been proposed. Here a review of general approaches to multivariate surveillance is given with respect to how suggested …

On-line monitoring is needed to detect outbreaks of diseases like influenza. Surveillance is also needed for other … used to determine the sufficient statistic for surveillance. The derived maximum likelihood estimator of the outbreak … to the exponential family. The estimator was used in a generalized likelihood ratio surveillance method. The method was …

Detection of structural change is a critical empirical activity, but continuous 'monitoring' of series, for structural …

Spatial surveillance is a special case of multivariate surveillance. Thus, in this review of spatial outbreak methods …, the relation to general multivariate surveillance approaches is discussed. Different outbreak models are needed for …-epidemic level. A semiparametric generalized likelihood ratio surveillance method was used. Appropriate evaluation metrics are …

The relation between change points in multivariate surveillance is important but seldom considered. The sufficiency … evaluation metrics. We study processes where the changes occur simultaneously or with known time lags. The surveillance of …

Detection of structural change is a critical empirical activity, but continuous 'monitoring' of series, for structural …