Study of Average Run Length for Supplementary Runs Rules in the Presents Autocorrelation

Layth C. Alwan, Charles W. Champ, Hazem D. Maragah

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The basic assumption underlying statistical control chart criteria is that the process measurements are independent and identically distributed over time. However, autocorrelation and other time-series effects occur frequently in application. In this paper, the effects of autocorrelation are investigated for the frequently advocated supplementary runs rules. For both individual control charts based on the moving range and sample standard deviation, using simulation, the impact of autocorrelation for the AR(1) on in-control average run lengths is given.

Original languageAmerican English
JournalCommunications in Statistics: Simulation and Computation
Volume23
DOIs
StatePublished - Jan 1 1994

Keywords

  • Markov chain
  • Moving range
  • Presents Autocorrelation
  • Run Length
  • Statistical process control
  • Supplementary Run Rules
  • X-chart

DC Disciplines

  • Education
  • Mathematics

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