Eryılmaz, Serkan2023-06-162023-06-1620050361-09261532-415Xhttps://doi.org/10.1080/03610920500200931https://hdl.handle.net/20.500.14365/1624Concomitants of order statistics are considered for the situation in which the random vectors (X-1, Y-1), (X-2, Y-2), . . . , (X-n, Y-n) are independent but otherwise arbitrarily distributed. The joint and marginal distributions of the concomitants of order statistics and stochastic comparisons among the concomitants of order statistics are studied in this situation.eninfo:eu-repo/semantics/closedAccessconcomitantspermanentstochastic orderingstochastically increasingOrder-StatisticsStochastic ComparisonsRandom-VariablesDependenceConcomitants in a Sequence of Independent Nonidentically Distributed Random VectorsArticle10.1080/036109205002009312-s2.0-25644452720