Stochastic ordering of minima and maxima from heterogeneous bivariate Birnbaum–Saunders random vectors

Longxiang Fang*, Xiaojun Zhu, N. Balakrishnan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this paper, we discuss stochastic comparisons of minima and maxima arising from heterogeneous bivariate Birnbaum–Saunders (BS) random vectors with respect to the usual stochastic order based on vector majorization of parameters. Suppose the bivariate random vectors X1, X2 and X*1, X*2 follow BVBS(α11,(α22,ρ) and BVBS(α*1*1,(α*2*2,ρ) distributions, respectively. Suppose 0< υ≤2. We then prove that when (Formula presented.), (Formula presented.) implies (Formula presented.) and (Formula presented.) implies (Formula presented.). These results are subsequently generalized to a wider range of scale parameters. Next, we prove that when (Formula presented.), (Formula presented.) implies (Formula presented.) and (Formula presented.). Analogous results are then deduced for bivariate log BS distributions as well.

Original languageEnglish
Pages (from-to)147-155
Number of pages9
JournalStatistics
Volume52
Issue number1
DOIs
Publication statusPublished - 2 Jan 2018
Externally publishedYes

Keywords

  • Bivariate Birnbaum–Saunders distribution
  • bivariate log Birnbaum–Saunders distribution
  • majorization
  • maxima
  • minima
  • usual stochastic order

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