Optimal Sequential Surveillance for Finance, Public Health, and Other Areas
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References listed on IDEAS
- Max Petzold & Christian Sonesson & Eva Bergman & Helle Kieler, 2004. "Surveillance in Longitudinal Models: Detection of Intrauterine Growth Restriction," Biometrics, The International Biometric Society, vol. 60(4), pages 1025-1033, December.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Lars-Erik Öller & Lasse Koskinen, 2004.
"A classifying procedure for signalling turning points,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.
- Koskinen, Lasse & Öller, Lars-Erik, 2001. "A Classifying Procedure for Signaling Turning Points," SSE/EFI Working Paper Series in Economics and Finance 427, Stockholm School of Economics.
- Eva Andersson & David Bock & Marianne Frisén, 2004. "Detection of Turning Points in Business Cycles," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(1), pages 93-108.
- H. E. T. Holgersson, 2004. "Testing for Multivariate Autocorrelation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(4), pages 379-395.
- Sun, Kai & Basu, Asit P., 1995. "A characterization of a bivariate geometric distribution," Statistics & Probability Letters, Elsevier, vol. 23(4), pages 307-311, June.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Verdier, Ghislain & Hilgert, Nadine & Vila, Jean-Pierre, 2008. "Adaptive threshold computation for CUSUM-type procedures in change detection and isolation problems," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4161-4174, May.
More about this item
KeywordsChange point; Likelihood ratio; Monitoring; Multivariate surveillance; Minimum expected delay; Online detection;
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
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