多元极值中的随机排序

IF 1.1 3区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Extremes Pub Date : 2024-05-01 DOI:10.1007/s10687-024-00486-0
Michela Corradini, Kirstin Strokorb
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引用次数: 0

摘要

文章研究了简单最大稳定分布及其指数量之间的上正序、下正序和正象限依赖(PQD)的多元随机阶次。结果表明,对于每种阶次,当且仅当它对于相应的指数度量成立时,它才对于最大稳定分布成立。对于上正交(因此也是 PQD 阶)来说,这一发现并不难。从维度上看,这三种阶并不等同,会出现各种各样的现象。然而,每个简单的最大稳定分布都PQD支配相应的独立模型,并且被完全依赖模型PQD支配。在参数模型中,非对称狄利克特模型族和胡斯勒-雷斯模型族根据其参数空间内的自然顺序变成了 PQD 有序模型。对于 Hüsler-Reiß 系列,即使超模阶也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Stochastic ordering in multivariate extremes

The article considers the multivariate stochastic orders of upper orthants, lower orthants and positive quadrant dependence (PQD) among simple max-stable distributions and their exponent measures. It is shown for each order that it holds for the max-stable distribution if and only if it holds for the corresponding exponent measure. The finding is non-trivial for upper orthants (and hence PQD order). From dimension \(d\ge 3\) these three orders are not equivalent and a variety of phenomena can occur. However, every simple max-stable distribution PQD-dominates the corresponding independent model and is PQD-dominated by the fully dependent model. Among parametric models the asymmetric Dirichlet family and the Hüsler-Reiß family turn out to be PQD-ordered according to the natural order within their parameter spaces. For the Hüsler-Reiß family this holds true even for the supermodular order.

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来源期刊
Extremes
Extremes MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.20
自引率
7.70%
发文量
15
审稿时长
>12 weeks
期刊介绍: Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged. Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue.
期刊最新文献
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