A nonparametric EWMA chart with auxiliary information for process mean

Abdul Haq

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 5, 1232-1247

Abstract: In this paper, a new nonparametric exponentially weighted moving average (EWMA) sign chart is constructed with the help of an auxiliary-information-based (AIB) estimator of the process mean, named AIB-EWMA sign chart. The run length characteristics of the proposed control chart are computed using the Markov chain method. Using the bivariate Plackett’s distribution, the average run length profiles of the AIB-EWMA sign chart are compared with those of the EWMA sign chart. It turns out that the AIB-EWMA sign chart performs uniformly and substantially better than the EWMA sign chart when detecting different sizes of shift in the process mean.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1554140 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:49:y:2020:i:5:p:1232-1247

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2018.1554140

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().