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EWMA control chart for Katz family of distributions  

Cho, Gyo-Young (Department of Statistics, Kyungpook National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.21, no.4, 2010 , pp. 681-688 More about this Journal
Abstract
In statistical process control, the primary method used to monitor the number of nonconformities is the c-chart. The conventional c-chart is based on the assumption that the occurrence of nonconformities in samples is well modeled by a Poisson distribution. When the Poisson assumption is not met, the X-chart is often used as an alternative charting scheme in practice. And EWMA control chart is used when it is desirable to detect out-of-control situations very quickly because of sensitive to a small or gradual drift in the process.
Keywords
Average run length; EWMA control chart; Katz family of distributions; statistical process control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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