Optimal surveillance

Marianne Frisén · Jacques de Maré

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Advanced Statistical Process Monitoring Probability and Statistical Research Statistical Methods and Inference

Abstract

Continual surveillance to detect some event is of interest in quite different situations in industry, medicine, economics and other fields. A general method with an optimality property is described. The implications of the method for some different situations are derived. Some commonly used methods turn out to be special cases.

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2013Monitoring poisson count data with probability control limits when sample sizes are time varying 2009Optimal Sequential Surveillance for Finance, Public Health, and Other Areas 2008A SYSTEM FOR DATING AND DETECTING TURNING POINTS IN THE EURO AREA 1999Evaluations of likelihood ratio methods for surveillance.2012On Assessing the Performance of Sequential Procedures for Detecting a Change 2008Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods 1998Some principles for surveillance adopted for multivariate processes with a common change point 2006Optimal Surveillance Based on Exponentially Weighted Moving Averages

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