Bairamov Ismihan2023-06-162023-06-1620120167-7152https://doi.org/10.1016/j.spl.2012.06.005https://hdl.handle.net/20.500.14365/1455For a univariate distribution function (cdf) the upper and lower bounds expressed in terms of mixtures of cdfs of order statistics are obtained. For a bivariate cdf, similar bounds, expressed in terms of mixtures of joint cdf's of order statistics and their concomitants, are given. It is shown that these bounds converge to the corresponding cdf. (C) 2012 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessOrder statisticsConcomitantsMajorizationOrder-StatisticsConcomitantsArticle10.1016/j.spl.2012.06.0052-s2.0-84863112461