Sequential rank CUSUM charts for angular data

F. Lombard, Douglas M. Hawkins, Cornelis J. Potgieter

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


A cumulative sum (CUSUM) control chart has desirable properties for checking whether a distribution has changed from an in-control to an out-of-control setting. Distribution-free CUSUMs based on sequential ranks to detect changes in the mean direction and dispersion of angular data are developed and some of their properties are illustrated by theoretical calculations and Monte Carlo simulation. Three applications to sequentially observed angular data from health science, industrial quality control and astrophysics are discussed.

Original languageEnglish (US)
Pages (from-to)268-279
Number of pages12
JournalComputational Statistics and Data Analysis
StatePublished - Jan 1 2017


  • Angular data
  • Sequential ranks

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