Limit Theory of Bivariate Generalized Order Statistics with Random Sample Size

被引：0

作者：

Barakat H.M. ^{[1
]}

Abd Elgawad M.A. ^{[2
,3
]}

Qin H. ^{[2
]}

Yan T. ^{[2
]}

机构：

[1] Dept.Math., Faculty Sci., Zagazig University, Zagazig

[2] School Math. and Statist., Central China Normal Univ., Wuhan

[3] Dept. Math. Faculty Sci., Benha Univ., Benha

来源：

Mathematical Methods of Statistics | 2018年 / 27卷 / 1期

关键词：

generalized order statistics; random sample size; weak convergence;

D O I：

10.3103/S1066530718010039

中图分类号：

学科分类号：

摘要：

The class of limit distribution functions (df’s) of the random bivariate extreme, central and intermediate generalized order statistics (gos) from independent and identically distributed random variables (rv’s) is fully characterized. The cases, when the random sample size is independent of the basic variables and when the interrelation between the random sample size and the basic variables is not restricted, are considered. © 2018, Allerton Press, Inc.

引用

页码：47 / 59

页数：12

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