A nonparametric change-point control chart

Douglas M. Hawkins, Qiqi Deng

Research output: Contribution to journalArticlepeer-review

83 Scopus citations


The assumption of fully known in-control distributions has long been recognized as an idealization, at best approximately true. Recent development of normal-based change-point methods has allowed the assumption of exactly known in-control mean and variance tobe relaxed, but retained the assumption of normality. In this paper, we develop a nonparametric tool based on the change-point model for statistical process control. This method is shown to perform well, even beating the parametric approach for small to moderate shifts in normal data, and to involve relatively light computation.

Original languageEnglish (US)
Pages (from-to)165-173
Number of pages9
JournalJournal of Quality Technology
Issue number2
StatePublished - Apr 2010


  • Chart performance
  • Cumulative methods
  • Rank sum test

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