Generalized control chart for variance based on the p-value of chi square test

Alvaro E. Cordero-Franco, Víctor G. Tercero-Gómez, José F. Camacho-Vallejo, Rosa Guadalupe González-Ramírez

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

Control charts are well known tools capable to distinguish special and common causes of variation and to detect sustained changes in processes. However, these tools are not capable to estimate the initial moment of a sustained change. The detection and estimation of sustained changes belong to change point analysis. For series with shifts in variance, current models use control charts to detect the change and estimators based on different approaches to estimate the time of that change. The proposed approach uses the p-value function of the Chi-squared statistic to create a generalized likelihood ratio control chart capable of detecting shifts in variance and estimate the initial moment of a change at the same time.
Original languageAmerican English
Pages2778-2782
Number of pages5
StatePublished - 1 Jan 2012
Externally publishedYes
Event62nd IIE Annual Conference and Expo 2012 -
Duration: 1 Jan 2012 → …

Conference

Conference62nd IIE Annual Conference and Expo 2012
Period1/01/12 → …

Keywords

  • Change point
  • Control chart
  • Generalized likelihood ratio
  • Statistical process control

Fingerprint Dive into the research topics of 'Generalized control chart for variance based on the p-value of chi square test'. Together they form a unique fingerprint.

Cite this