EconPapers    
Economics at your fingertips  
 

Signature-based approach for stress-strength systems

Zohreh Pakdaman (), Jafar Ahmadi () and Mahdi Doostparast ()
Additional contact information
Zohreh Pakdaman: Ferdowsi University of Mashhad
Jafar Ahmadi: Ferdowsi University of Mashhad
Mahdi Doostparast: Ferdowsi University of Mashhad

Statistical Papers, 2019, vol. 60, issue 5, No 10, 1647 pages

Abstract: Abstract This paper deals with the stress-strength system reliability based on signatures. By using signature-based properties of strength systems, the performance of the stress-strength reliability is assessed. It is shown that the survival function of the remaining strength of a system can be expressed as a mixture of the survival functions of the remaining strengths of their components and for systems consisting of exponential components, it is derived explicitly. The optimal system configuration in terms of the signature has been determined under an exponential stress-strength model.

Keywords: Stress-strength model; Mixed systems; Signature vector; Stochastic orders; Remaining strength system; Primary 62N05; Secondary 62F10 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s00362-017-0889-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:stpapr:v:60:y:2019:i:5:d:10.1007_s00362-017-0889-5

Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362

DOI: 10.1007/s00362-017-0889-5

Access Statistics for this article

Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller

More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:stpapr:v:60:y:2019:i:5:d:10.1007_s00362-017-0889-5