103
Views
0
CrossRef citations to date
0
Altmetric
Article

Stochastic comparisons on extremes of burr type XII samples associated with Archimedean copula and heterogeneous shape parameters

, & ORCID Icon
Pages 786-811 | Received 08 Sep 2021, Accepted 14 Jun 2022, Published online: 30 Jun 2022
 

Abstract

This study deals with random variables from Burr Type XII samples having heterogeneous shape parameters and homogeneous frailty parameters. For samples whose survival copula (whose copula) is Archimedean copula, sufficient conditions based on the heterogeneity of shape parameter vector for the stochastic tail ordering and usual stochastic ordering between sample minimums (sample maximums) are provided. As for independent samples, the convex transform order and tail hazard rate order (tail reversed hazard rate order) between sample minimums (maximums) are discussed. Several numerical examples are also presented to illustrate the theoretical findings.

2020 MATHEMATICS SUBJECT CLASSIFICATION:

Acknowledgments

The authors would like to express their sincere thank to two referees for their detailed and constructive comments, which led to an significant improvement of the original manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 The transformation x=ln(1s) for s(0,1) is performed to show the complete curves on x(0,).

Additional information

Funding

This study has been funded Guangdong Natural Science Foundation (2020A1515010436).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,069.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.