{"title":"研究了肯德尔τ、长度度量和二元连簇表面之间的联系,以及对具有自相似支持的连簇的推论","authors":"Juan Fernández Sánchez, Wolfgang Trutschnig","doi":"10.1515/demo-2023-0105","DOIUrl":null,"url":null,"abstract":"Abstract Working with shuffles, we establish a close link between Kendall’s <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>τ</m:mi> </m:math> \\tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences. While it is well known that Spearman’s <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>ρ</m:mi> </m:math> \\rho of a bivariate copula <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>A</m:mi> </m:math> A is a rescaled version of the volume of the area under the graph of <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>A</m:mi> </m:math> A , in this contribution we show that the other famous concordance measure, Kendall’s <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>τ</m:mi> </m:math> \\tau , allows for a simple geometric interpretation as well – it is inextricably linked to the surface area of <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:mi>A</m:mi> </m:math> A .","PeriodicalId":43690,"journal":{"name":"Dependence Modeling","volume":"12 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A link between Kendall’s <i>τ</i>, the length measure and the surface of bivariate copulas, and a consequence to copulas with self-similar support\",\"authors\":\"Juan Fernández Sánchez, Wolfgang Trutschnig\",\"doi\":\"10.1515/demo-2023-0105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Working with shuffles, we establish a close link between Kendall’s <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>τ</m:mi> </m:math> \\\\tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences. While it is well known that Spearman’s <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>ρ</m:mi> </m:math> \\\\rho of a bivariate copula <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>A</m:mi> </m:math> A is a rescaled version of the volume of the area under the graph of <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>A</m:mi> </m:math> A , in this contribution we show that the other famous concordance measure, Kendall’s <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>τ</m:mi> </m:math> \\\\tau , allows for a simple geometric interpretation as well – it is inextricably linked to the surface area of <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:mi>A</m:mi> </m:math> A .\",\"PeriodicalId\":43690,\"journal\":{\"name\":\"Dependence Modeling\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dependence Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/demo-2023-0105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dependence Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/demo-2023-0105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
A link between Kendall’s τ, the length measure and the surface of bivariate copulas, and a consequence to copulas with self-similar support
Abstract Working with shuffles, we establish a close link between Kendall’s τ \tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences. While it is well known that Spearman’s ρ \rho of a bivariate copula A A is a rescaled version of the volume of the area under the graph of A A , in this contribution we show that the other famous concordance measure, Kendall’s τ \tau , allows for a simple geometric interpretation as well – it is inextricably linked to the surface area of A A .
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