EconPapers    
Economics at your fingertips  
 

On stochastic comparisons of minimum order statistics from the location–scale family of distributions

Nil Kamal Hazra, Mithu Rani Kuiti, Maxim Finkelstein () and Asok K. Nanda
Additional contact information
Nil Kamal Hazra: University of the Free State
Mithu Rani Kuiti: Indian Institute of Management Calcutta (IIMC)
Maxim Finkelstein: University of the Free State
Asok K. Nanda: Indian Institute of Science Education and Research (IISER) Kolkata

Metrika: International Journal for Theoretical and Applied Statistics, 2018, vol. 81, issue 2, No 1, 105-123

Abstract: Abstract We consider stochastic comparisons of minimum order statistics from the location–scale family of distributions that contain most of the popular lifetime distributions. Under certain assumptions, we show that the minimum order statistic of one set of random variables dominates that of another set of random variables with respect to different stochastic orders. Furthermore, we illustrate our results using some well-known specific distributions.

Keywords: Majorization orders; Series system; Schur-convex/concave function; Stochastic orders; 60E15 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s00184-017-0636-x 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:81:y:2018:i:2:d:10.1007_s00184-017-0636-x

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00184-017-0636-x

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:metrik:v:81:y:2018:i:2:d:10.1007_s00184-017-0636-x