Revisiting the region determined by Spearman’s ρ and Spearman’s footrule ϕ

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-09-07 DOI:10.1016/j.cam.2024.116259
Marco Tschimpke , Manuela Schreyer , Wolfgang Trutschnig
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Abstract

Kokol and Stopar (2023) recently studied the exact region Ωϕ,ρ determined by Spearman’s footrule ϕ and Spearman’s ρ and derived a sharp lower, as well as a non-sharp upper bound for ρ given ϕ. Considering that the proofs for establishing these inequalities are novel and interesting, but technically quite involved we here provide alternative simpler proofs mainly building upon shuffles, symmetry, denseness and mass shifting. As a by-product of these proofs we derive several additional results on shuffle rearrangements and the interplay between diagonal copulas and shuffles which are of independent interest. Moreover we finally show that we can get closer to the (non-sharp) upper bound than established in the literature so far.

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重新审视斯皮尔曼 ρ 和斯皮尔曼脚规 ϕ 所确定的区域
Kokol 和 Stopar(2023 年)最近研究了由斯皮尔曼脚规 ϕ 和斯皮尔曼 ρ 确定的精确区域 Ωϕ,ρ ,并得出了给定 ϕ 的 ρ 的尖锐下限和非尖锐上限。考虑到建立这些不等式的证明既新颖又有趣,但技术上相当复杂,我们在此主要基于洗牌、对称性、致密性和质量转移提供了更简单的证明。作为这些证明的副产品,我们还推导出了几个关于洗牌重排以及对角协方差与洗牌之间相互作用的额外结果,这些结果具有独立的意义。此外,我们还最终证明,我们可以比迄今为止的文献更接近(非锐利的)上限。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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