In this work, we establish some stochastic comparison results for multivariate skew-elliptical random vectors. These multivariate stochastic comparisons involve Hessian and increasing-Hessian orderings as well as many of their special cases. Necessary and/or sufficient conditions of the orderings are provided simply based on a comparison of the underlying model parameters.
翻译:在这项工作中,我们为多元斜椭圆随机向量建立了一些随机比较结果。这些多元随机比较涉及 Hessian 和增 Hessian 排序以及它们的许多特殊情况。基于对基础模型参数的比较,提供了排序的必要和/或充分条件。