Central Limit Theorem for a Family of Reliability Measures
P. Zeephongsekul
Additional contact information
P. Zeephongsekul: RMIT University
Chapter 1 in Recent Advances in Reliability and Quality in Design, 2008, pp 3-30 from Springer
Abstract:
Abstract The main objective of this chapter is to present and prove a Central Limit Theorem for a measure of reliability, called gauge measure, which was introduced in an earlier paper. This measure is derived from a marked point process where the base process is a random point process and the marks are fuzzy random variables. The underlying point process represents the locations where faults are located and the fuzzy marks quantify the subjective assessment when remedial actions are implemented to restore the system to its former working condition. Several examples including an application are provided which serve to illustrate the many results presented in this chapter. Finally, we conclude this chapter with suggestions for future work.
Keywords: Point Process; Central Limit Theorem; Support Function; Asymptotic Variance; Normal Random Variable (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:ssrchp:978-1-84800-113-8_1
Ordering information: This item can be ordered from
http://www.springer.com/9781848001138
DOI: 10.1007/978-1-84800-113-8_1
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().