Choosing principal components for multivariate statistical process control

Research output: Contribution to journalArticlepeer-review

37 Scopus citations


Principal components are useful for multivariate process control. Typically, the principal component variables are often selected to summarize the variation in the process data. We provide an analysis to select the principal component variables to be included in a multivariate control chart that incorporates the unique aspects of the process control problem (rather than using traditional principal component guidelines).

Original languageEnglish (US)
Pages (from-to)909-922
Number of pages14
JournalCommunications in Statistics - Theory and Methods
Issue number5
StatePublished - Jan 1 1996
Externally publishedYes


  • Chi-square chart
  • Quality control
  • Selection of variables

ASJC Scopus subject areas

  • Statistics and Probability


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