MIXMAX charts

Willem Albers

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    For attribute data with (very) small failure rates control charts based on subsequent groups of r failure times, for some r >= 1, have been shown to be attractive. This especially holds for charts which stop once the maximum (MAX) of such a group is sufficiently small, as this choice allows a nonparametric adaptation already for Phase I samples of ordinary size. The choice of r is dictated by the suspected rate of change in failure rate once the process goes out-of-control: for large (small) changes, r should be small (large). Typically,the actual rate of change will be unknown and hence some flexibility w.r.t. the choice of r seems advisable. In the present paper this goal is achieved by mixing a MAX-chart for a large r with one for which r is relatively small.
    Original languageEnglish
    Pages (from-to)77-101
    Number of pages25
    JournalAdvances and applications in statistics
    Issue number2
    Publication statusPublished - 2012


    • Average run length
    • Health care monitoring
    • High quality processes
    • Estimated parameters
    • Sets method
    • Statistical process control
    • Order statistics
    • MSC-62P10
    • MIXMAX charts

      Albers, W., Jan 2012, Enschede: University of Twente. 13 p. (Memorandum; no. 1972)

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