@book{f8cef82122d548468214e3b5e5ad7f2c,

title = "MIXMAX charts",

abstract = "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.",

keywords = "Order statistics, EWI-21200, Average run length, MSC-62P10, METIS-285227, Sets method, IR-79259, Statistical Process Control, Health care monitoring, High quality processes, Estimated parameters",

author = "Willem/Wim Albers",

note = "eemcs-eprint-21200 ",

year = "2012",

month = jan,

language = "Undefined",

series = "Memorandum / Department of Applied Mathematics",

publisher = "University of Twente, Department of Applied Mathematics",

number = "1972",

}