Recent accomplishments in weighing designs
Małgorzata Graczyk and
Bronisław Ceranka
Communications in Statistics - Theory and Methods, 2020, vol. 50, issue 21, 5013-5021
Abstract:
The paper presents the results of research concerning on the estimation of individual weights of objects in spring balance weighing design. We consider D-optimal weighing design under assumption that the errors are uncorrelated and they have different variances. The upper bound of the determinant of the information matrix of estimators is given and the conditions for this upper bound to be attained are proved. Some examples of the regular D-optimal spring balance weighing designs are demonstrated.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1639748 (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:50:y:2020:i:21:p:5013-5021
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2019.1639748
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 ().