Computing average run lengths of exponential EWMA charts

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105066

DC Field	Value
dc.title	Computing average run lengths of exponential EWMA charts
dc.contributor.author	Gan, F.F.
dc.contributor.author	Chang, T.C.
dc.date.accessioned	2014-10-28T05:11:00Z
dc.date.available	2014-10-28T05:11:00Z
dc.date.issued	2000
dc.identifier.citation	Gan, F.F.,Chang, T.C. (2000). Computing average run lengths of exponential EWMA charts. Journal of Quality Technology 32 (2) : 183-187. ScholarBank@NUS Repository.
dc.identifier.issn	00224065
dc.identifier.uri	http://scholarbank.nus.edu.sg/handle/10635/105066
dc.description.abstract	An exponential EWMA chart is useful for monitoring the mean β of interarrival times of nonconforming items in many manufacturing processes. A program is presented for determining the average run length (ARL) profiles of one-sided or two-sided EWMA charts. The ARL is computed using an exact procedure. The ARL's over a range of β's can be obtained given the chart parameters. The ARL profiles provide a more comprehensive understanding of the performance of a chart.
dc.source	Scopus
dc.subject	Average Run Length
dc.subject	Exponential Distribution
dc.subject	Poisson Distribution
dc.subject	Statistical Process Control
dc.type	Article
dc.contributor.department	STATISTICS & APPLIED PROBABILITY
dc.description.sourcetitle	Journal of Quality Technology
dc.description.volume	32
dc.description.issue	2
dc.description.page	183-187
dc.description.coden	JQUTA
dc.identifier.isiut	NOT_IN_WOS
Appears in Collections:	Staff Publications

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