Monitoring cyclical processes. A non-parametric approach

DOI10.1080/0266476022000006685zbMath1121.62315OpenAlexW1992418068MaRDI QIDQ3591758

E. Andersson

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0266476022000006685

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

The Impact of Intensity in Surveillance of Cyclical Processes, Predicting recessions using trends in the yield spread, Properties and Use of the Shewhart Method and Its Followers, Verification of Turning Points, Statistical Surveillance. Optimality and Methods, Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems, Evaluation of multivariate surveillance, Semiparametric estimation of outbreak regression, On-line detection of turning points using non-parametric surveillance: The effect of the growth after the turn, Evaluations of some Exponentially Weighted Moving Average methods, Some statistical aspects of methods for detection of turning points in business cycles, Optimal Sequential Surveillance for Finance, Public Health, and Other Areas, Semiparametric Surveillance of Monotonic Changes

Cites Work

• Comparison of EWMA, CUSUM and Shiryayev-Roberts procedures for detecting a shift in the mean
• Control charts based on order-restricted tests
• Some principles for surveillance adopted for multivariate processes with a common change point
• Optimal surveillance
• A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
• Evaluations of likelihood ratio methods for surveillance.
• On Optimum Methods in Quickest Detection Problems
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