This article presents new results on hazard rate orderings in random extremes from independent variables, indicating differing conditions between identical and non-identical cases.
In this article, we revisit the paper by Kundu et al., presenting new results for non-identical independent random variables. We derive sufficient conditions for preserving the hazard rate and reversed hazard rate orderings between the random maximum and minimum order statistics, respectively. Our results show that these preservation conditions also hold for independent and identically distributed random variables. Interestingly, we also demonstrate that the findings in Kundu et al. for the non-identical cases do not apply to the identical cases. The results and insights are demonstrated by numerical examples.
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Modok et al. (2026) studied this question.
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