A distribution-free tabular CUSUM chart for autocorrelated data

Seong-Hee Kim, Christos Alexopoulos, Kwok-Leung Tsui, James R. Wilson

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

56 Citations (Scopus)

Abstract

A distribution-free tabular CUSUM chart called DFTC is designed to detect shifts in the mean of an autocorrelated process. The chart's Average Run Length (ARL) is approximated by generalizing Siegmund's ARL approximation for the conventional tabular CUSUM chart based on independent and identically distributed normal observations. Control limits for DFTC are computed from the generalized ARL approximation. Also discussed are the choice of reference value and the use of batch means to handle highly correlated processes. The performance of DFTC compared favorably with that of other distribution-free procedures in stationary test processes having various types of autocorrelation functions as well as normal or nonnormal marginals.
Original languageEnglish
Pages (from-to)317-330
JournalIIE Transactions (Institute of Industrial Engineers)
Volume39
Issue number3
DOIs
Publication statusPublished - Mar 2007
Externally publishedYes

Research Keywords

  • Autocorrelated data average run length
  • Distribution-free statistical methods
  • Statistical process control
  • Tabular CUSUM chart

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