A statistical testing framework for evaluating the quality of measurement processes

Edgard Nyssen and Wolfgang Jacquet

Journal of Applied Statistics, 2014, vol. 41, issue 3, 652-659

Abstract: In this paper we address the evaluation of measurement process quality. We mainly focus on the evaluation procedure, as far as it is based on the numerical outcomes for the measurement of a single physical quantity. We challenge the approach where the 'exact' value of the observed quantity is compared with the error interval obtained from the measurements under test and we propose a procedure where reference measurements are used as 'gold standard'. To this purpose, we designed a specific t -test procedure, explained here. We also describe and discuss a numerical simulation experiment demonstrating the behaviour of our procedure.

Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2013.847069 (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:japsta:v:41:y:2014:i:3:p:652-659

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2013.847069

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().