Stochastic comparisons on extreme order statistics from observations associated by FGM copula

Boyang Wang and Rui Fang

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 10, 3492-3510

Abstract: This study deals with the stochastic comparison of extreme order statistics from random samples with FGM copula or FGM survival copula. For general marginal distributions, several sufficient conditions on the usual stochastic order, the reversed hazard rate order, the hazard rate order, the increasing convex order and the increasing concave order on sample maximums or minimums are derived. Then, we apply these conditions to samples following proportional hazard rate model, proportional reversed hazard rate model, Weibull distributions and negative binomial distributions, and generalize some ordering results about samples having independent observations to the case with FGM copula or FGM survival copula. Two comparing results on the second-order statistics from proportional hazard samples are presented. Some numerical examples are provided to illustrate the theoretical results as well.

Date: 2023
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DOI: 10.1080/03610926.2021.1974481

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