Characterizations of the General Multivariate Weibull Distributions

被引:3
|
作者
Yeh, Hsiaw-Chan [1 ]
机构
[1] Natl Taiwan Univ, Dept Finance, Coll Management, Taipei 106, Taiwan
关键词
Characterizations; Functional equations; General multivariate Weibull and Pareto distributions; Homogeneous general multivariate Weibull distribution; Normalized sample minima; Normalized geometric minima; Radon measure; EXPONENTIAL-DISTRIBUTION;
D O I
10.1080/03610926.2010.517355
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A general multivariate Weibull distribution is introduced in this article. The GMW is constructed by a well-defined exponent Radon measure which is satisfied by a functional equation with some assumptions. There is rarely literature published regarding the study of characterization of the multivariate Weibull distribution. Yeh (2009) investigated two characterizations on homogeneous multivariate semi-Weibull distribution. Many characterization theorems of the GMW are proved in this article. All these characterizations lead to a multivariate functional equation. Finally, the limiting distribution of the normalized geometric minima of the GMW is discerned as the general multivariate Pareto distribution.
引用
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页码:76 / 87
页数:12
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