The Kendall and Spearman rank correlations of the bivariate skew normal distribution

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Scandinavian Journal of Statistics Pub Date : 2022-12-01 DOI:10.1111/sjos.12587
Andréas Heinen, Alfonso Valdesogo
{"title":"The Kendall and Spearman rank correlations of the bivariate skew normal distribution","authors":"Andréas Heinen, Alfonso Valdesogo","doi":"10.1111/sjos.12587","DOIUrl":null,"url":null,"abstract":"We derive the Kendall and Spearman rank correlation coefficients of the bivariate skew normal (SN) distribution. For a given correlation parameter, we provide conditions on the shape parameters, under which the SN is more dependent than the normal in terms of each of the two‐rank correlations. We further show how our results can be used for rank‐based estimation procedures of the correlation parameter and the equal shape parameter of the SN, whose consistency and asymptotic normality we establish.","PeriodicalId":49567,"journal":{"name":"Scandinavian Journal of Statistics","volume":"49 1","pages":"1669 - 1698"},"PeriodicalIF":0.8000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scandinavian Journal of Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1111/sjos.12587","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 2

Abstract

We derive the Kendall and Spearman rank correlation coefficients of the bivariate skew normal (SN) distribution. For a given correlation parameter, we provide conditions on the shape parameters, under which the SN is more dependent than the normal in terms of each of the two‐rank correlations. We further show how our results can be used for rank‐based estimation procedures of the correlation parameter and the equal shape parameter of the SN, whose consistency and asymptotic normality we establish.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
二元偏斜正态分布的Kendall和Spearman秩相关性
我们导出了二元斜正态(SN)分布的Kendall和Spearman秩相关系数。对于给定的相关性参数,我们提供了形状参数的条件,在该条件下,就两阶相关性中的每一个而言,SN比正态更依赖。我们进一步展示了我们的结果如何用于SN的相关参数和等形状参数的基于秩的估计过程,我们建立了它们的一致性和渐近正态性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Scandinavian Journal of Statistics
Scandinavian Journal of Statistics 数学-统计学与概率论
CiteScore
1.80
自引率
0.00%
发文量
61
审稿时长
6-12 weeks
期刊介绍: The Scandinavian Journal of Statistics is internationally recognised as one of the leading statistical journals in the world. It was founded in 1974 by four Scandinavian statistical societies. Today more than eighty per cent of the manuscripts are submitted from outside Scandinavia. It is an international journal devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications. The journal specializes in statistical modelling showing particular appreciation of the underlying substantive research problems. The emergence of specialized methods for analysing longitudinal and spatial data is just one example of an area of important methodological development in which the Scandinavian Journal of Statistics has a particular niche.
期刊最新文献
Model‐based clustering in simple hypergraphs through a stochastic blockmodel Some approximations to the path formula for some nonlinear models Tobit models for count time series On some publications of Sir David Cox Looking back: Selected contributions by C. R. Rao to multivariate analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1