EconPapers    
Economics at your fingertips  
 

Preservation of Stochastic Orders under the Formation of Generalized Distorted Distributions. Applications to Coherent Systems

Jorge Navarro (), Yolanda Águila, Miguel A. Sordo and Alfonso Suárez-Llorens
Additional contact information
Jorge Navarro: Universidad de Murcia
Yolanda Águila: Universidad de Almería
Miguel A. Sordo: Universidad de Cádiz
Alfonso Suárez-Llorens: Universidad de Cádiz

Methodology and Computing in Applied Probability, 2016, vol. 18, issue 2, 529-545

Abstract: Abstract The preservation of stochastic orders under the formation of coherent systems is a relevant topic in the reliability theory. Several properties have been obtained under the assumption of identically distributed components. In this paper we obtain ordering preservation results for generalized distorted distributions (GDD) which, in particular, can be used to obtain preservation results for coherent systems with non-identically distributed components. We consider both the cases of independent and dependent components. The preservation results obtained here for GDD can also be applied to other statistical concepts.

Keywords: Stochastic orders; Coherent systems; Order statistics; Copulas; 62K10; 60E15; 90B25 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11009-015-9441-z 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:metcap:v:18:y:2016:i:2:d:10.1007_s11009-015-9441-z

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-015-9441-z

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:metcap:v:18:y:2016:i:2:d:10.1007_s11009-015-9441-z