Relations between ageing and dependence for exchangeable lifetimes with an extension for the IFRA/DFRA property

IF 0.6 Q4 STATISTICS & PROBABILITY
G. Nappo, F. Spizzichino
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引用次数: 1

Abstract

Abstract We first review an approach that had been developed in the past years to introduce concepts of “bivariate ageing” for exchangeable lifetimes and to analyze mutual relations among stochastic dependence, univariate ageing, and bivariate ageing. A specific feature of such an approach dwells on the concept of semi-copula and in the extension, from copulas to semi-copulas, of properties of stochastic dependence. In this perspective, we aim to discuss some intricate aspects of conceptual character and to provide the readers with pertinent remarks from a Bayesian Statistics standpoint. In particular we will discuss the role of extensions of dependence properties. “Archimedean” models have an important role in the present framework. In the second part of the paper, the definitions of Kendall distribution and of Kendall equivalence classes will be extended to semi-copulas and related properties will be analyzed. On such a basis, we will consider the notion of “Pseudo-Archimedean” models and extend to them the analysis of the relations between the ageing notions of IFRA/DFRA-type and the dependence concepts of PKD/NKD.
老化和可交换寿命依赖性与IFRA/DFRA特性扩展之间的关系
摘要我们首先回顾了过去几年发展起来的一种方法,该方法引入了可交换寿命的“双变量老化”概念,并分析了随机依赖性、单变量老化和双变量老化之间的相互关系。这种方法的一个具体特征在于半copula的概念,以及从copula到半copula随机依赖性质的扩展。从这个角度来看,我们的目的是讨论概念特征的一些复杂方面,并从贝叶斯统计学的角度为读者提供相关的评论。我们将特别讨论依赖属性的扩展的作用。“阿基米德”模型在当前框架中具有重要作用。在本文的第二部分中,将Kendall分布和Kendall等价类的定义推广到半copula,并分析其相关性质。在此基础上,我们将考虑“伪阿基米德”模型的概念,并将IFRA/DFRA型老化概念与PKD/NKD依赖概念之间的关系分析扩展到它们。
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来源期刊
Dependence Modeling
Dependence Modeling STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to):  -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
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