Shewhart-type nonparametric control chart for process location

D. M. Zombade and V. B. Ghute

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 7, 1621-1634

Abstract: In this paper, Shewhart-type nonparametric control chart based on run statistic is developed for monitoring the known process location of a continuous process distribution. The performance of the proposed nonparametric chart is investigated using a simulation study and is compared with sign chart and signed-rank chart and X‾$\overline X $ chart under normal and non-normal process distributions, using ARL and SDRL as performance measures. It is observed that the proposed nonparametric chart perform better than the X‾$\overline X $ chart for detecting shifts in process location under heavy tailed distribution and is a close competitor to the sign chart for normal and non-normal process distributions.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1435811 (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:48:y:2019:i:7:p:1621-1634

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

DOI: 10.1080/03610926.2018.1435811

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 ().