Limit theory of bivariate dual generalized order statistics with random index

被引:5
|
作者
Abd Elgawad, M. A. [1 ,2 ]
Barakat, H. M. [3 ]
Qin, Hong [1 ]
Yan, Ting [1 ]
机构
[1] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China
[2] Benha Univ, Dept Math, Fac Sci, Banha, Egypt
[3] Zagazig Univ, Dept Math, Fac Sci, Zagazig, Egypt
关键词
Weak convergence; sample of random size; bivariate dual generalized order statistics; Primary: 62E20; Secondary: 62E15; 62G30; RANDOM-VARIABLES; RANDOM NUMBER; EXTREMES;
D O I
10.1080/02331888.2016.1265965
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
The class of limit distribution functions of bivariate extreme, intermediate and central dual generalized order statistics from independent and identically distributed random variables with random sample size is fully characterized. Two cases are considered. The first case is when the random sample size is assumed to be independent of all basic random variables. The second case is when the interrelation of the random size and the basic random variables is not restricted.
引用
收藏
页码:572 / 590
页数:19
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