Bayesian analysis for two-components systems and a conjugate family of bivariate densities
F. Spizzichino
Statistics & Probability Letters, 1991, vol. 11, issue 1, 17-25
Abstract:
We estimate the time to failure of a system formed by two different components. We study the case in which failure data of components are to be combined with failure data of systems. Statistical models are considered which allows the existence of sufficient statistics of fixed dimension and of a conjugate family of densities. An analysis of such a family is developed.
Keywords: Series; and; parallel; systems; observed; times; to; failures; time-transformed; exponential; models; conjugate; families; predictive; estimation; of; reliability (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(91)90171-M
Full text for ScienceDirect subscribers only
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:eee:stapro:v:11:y:1991:i:1:p:17-25
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().