Performance evaluation of processes with asymmetric tolerances in the presence of gauge measurement errors

Dwi Yuli Rakhmawati, Chien-Wei Wu and Chao-Lung Yang

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 10, 3011-3026

Abstract: In this study, the generalized confidence interval method is applied to evaluate the performances of processes with asymmetric tolerances taking into account the gauge measurement errors (GME). To examine the performance of the proposed method, a series of simulations is conducted. Moreover, a sensitivity study is carried out to analyze the effects of ignoring GME. The proposed method performs very well and can be recommended for assessing the performances of processes with asymmetric tolerances in the presence of GME.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2014.894068 (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:45:y:2016:i:10:p:3011-3026

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

DOI: 10.1080/03610926.2014.894068

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 ().