Abstract
In the framework of the Cusum procedure, the evolution of a false alarm has a well-understood stochastic behavior. So, if observations preceding an alarm were to exhibit a behavior that is significantly different, there would be reason to reject the hypothesis that the alarm is false. We develop a test of this difference. The method is applied to detecting a change in a Covid-19 context involving a possible increase of a mean and in a context involving a possible increase in the probability of a rare event. Supplementary materials for this article are available online.
| Original language | English |
|---|---|
| Journal | Journal of the American Statistical Association |
| DOIs | |
| State | Accepted/In press - 2026 |
Bibliographical note
Publisher Copyright:© 2026 The Author(s). Published with license by Taylor & Francis Group, LLC.
Keywords
- Control chart
- Covid-19
- Simulation of a false alarm
- p-value
Fingerprint
Dive into the research topics of 'When a Cusum Stops, What Confidence Is There that the Alarm Is Not False?'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver