Convolution of geometrics and a reliability problem
Ananda Sen and
N. Balakrishnan
Statistics & Probability Letters, 1999, vol. 43, issue 4, 421-426
Abstract:
In single-shot expensive tests of a destructive nature, an inverse sampling scheme is often pursued in order to use the available resources efficiently. This is particularly relevant for evaluating reliabilities for systems that are subjected to test-analyze-and-fix programs at successive stages, which cause a change in the failure probabilities across different stages. This note presents an elementary derivation of the distribution of the number of failures under this construct. A numerical illustration is presented by means of a discrete reliability growth model used in the literature. A correspondence with the well-studied pure birth process is pointed out.
Keywords: Inverse; sampling; Nonidentical; geometrics; Reliability; growth; Pure; birth; process (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00284-3
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:43:y:1999:i:4:p:421-426
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 ().