Consistency of the adaptive Bayesian estimator of reliability based on sequential experiments
Jun Wang
Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 24, 8749-8762
Abstract:
It is of great importance to predict the reliability of long lifetime electric devices. In a previous work, an adaptive Bayesian estimator is proposed to predict the reliability of such kind of devices based on sequential experiments. However, there is no general method to establish consistency of the estimator. In this paper, we focus on this adaptive Bayesian method with sequential design. Under some mild assumptions, we obtain the consistency of the estimator.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2070765 (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:52:y:2023:i:24:p:8749-8762
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2022.2070765
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 ().