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When a Cusum Stops, What Confidence Is There that the Alarm Is Not False?

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
JournalJournal of the American Statistical Association
DOIs
StateAccepted/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

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