Poisson EWMA control charts

Connie M. Borror, Charles W. Champ, Steven E. Rigdon

Research output: Contribution to journalArticle

116 Citations (Scopus)

Abstract

An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figures are given for the user to select the value of the upper control limit that gives the desired in-control average run length.

Original languageEnglish (US)
Pages (from-to)352-361
Number of pages10
JournalJournal of Quality Technology
Volume30
Issue number4
StatePublished - Oct 1998

Fingerprint

EWMA Chart
Average Run Length
Control Charts
Siméon Denis Poisson
Markov Chain Approximation
Exponentially Weighted Moving Average Control Chart
Markov processes
Figure
Monitoring
Control charts
Exponentially weighted moving average
Average run length

Keywords

  • Average Run Length
  • Exponentially Weighted Moving Average Control Charts
  • Poisson Distribution

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Statistics and Probability
  • Management Science and Operations Research

Cite this

Borror, C. M., Champ, C. W., & Rigdon, S. E. (1998). Poisson EWMA control charts. Journal of Quality Technology, 30(4), 352-361.

Poisson EWMA control charts. / Borror, Connie M.; Champ, Charles W.; Rigdon, Steven E.

In: Journal of Quality Technology, Vol. 30, No. 4, 10.1998, p. 352-361.

Research output: Contribution to journalArticle

Borror, CM, Champ, CW & Rigdon, SE 1998, 'Poisson EWMA control charts', Journal of Quality Technology, vol. 30, no. 4, pp. 352-361.
Borror CM, Champ CW, Rigdon SE. Poisson EWMA control charts. Journal of Quality Technology. 1998 Oct;30(4):352-361.
Borror, Connie M. ; Champ, Charles W. ; Rigdon, Steven E. / Poisson EWMA control charts. In: Journal of Quality Technology. 1998 ; Vol. 30, No. 4. pp. 352-361.
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