On the regular variation of ratios of jointly Fr,chet random variables

被引:1
|
作者
Wang, Yizao [1 ]
机构
[1] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
关键词
Regular variation; Multivariate Frechet distribution; Spectral representation; Asymptotic independence; Quotient correlation; Hidden regular variation; SAMPLE; TAIL; INDEPENDENCE; BEHAVIOR;
D O I
10.1007/s10687-011-0133-y
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We provide a necessary and sufficient condition for the ratio of two jointly alpha-Fr,chet random variables to be regularly varying. This condition is based on the spectral representation of the joint distribution and is easy to check in practice. Our result motivates the notion of the ratio tail index, which quantifies dependence features that are not characterized by the tail dependence index. As an application, we derive the asymptotic behavior of the quotient correlation coefficient proposed in Zhang (Ann Stat 36(2):1007-1030, 2008) in the dependent case. Our result also serves as an example of a new type of regular variation of products, different from the ones investigated by Maulik et al (J Appl Probab 39(4):671-699, 2002).
引用
收藏
页码:175 / 196
页数:22
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