Ordering results for the smallest (largest) and the second smallest (second largest) order statistics of dependent and heterogeneous random variables
Omid Shojaee (),
Seyed Morteza Mohammadi () and
Reza Momeni ()
Additional contact information
Omid Shojaee: University of Zabol
Seyed Morteza Mohammadi: University of Zabol
Reza Momeni: University of Zabol
Metrika: International Journal for Theoretical and Applied Statistics, 2024, vol. 87, issue 3, No 5, 325-347
Abstract:
Abstract In reliability theory, the kth order statistic represents the lifetime of a $$(n-k+1)$$ ( n - k + 1 ) -out-of-n system. In particular, the smallest (largest) order statistics denotes the lifetime of a series (parallel) system that consist of n components; and the second smallest (second largest) order statistics is the lifetime of a $$(n-1)$$ ( n - 1 ) -out-of-n (2-out-of-n) system. In this paper, sufficient conditions are provided to compare the smallest and the second smallest (largest and second largest) order statistics of dependent and heterogeneous random variables having the additive hazard model with the Archimedean copula in the sense of usual stochastic order and hazard rate order. Further, we compare the smallest order statistics of two sets of independent and heterogeneous random variables having the additive hazard model in the sense of dispersive order. Finally, our theoretical findings are evaluated by some numerical examples and counterexamples.
Keywords: Additive hazard model; Stochastic orders; Archimedean copula; Multiple-outlier model; Order statistics (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00184-023-00917-1 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:metrik:v:87:y:2024:i:3:d:10.1007_s00184-023-00917-1
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00184-023-00917-1
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().