FURTHER RESULTS OF CONVERGENCE OF UNCERTAIN RANDOM SEQUENCES

被引:0
|
作者
Gao, R. [1 ]
Ahmadzade, H. [2 ]
机构
[1] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China
[2] Univ Sistan & Baluchestan, Dept Stat, Zahedan, Iran
来源
IRANIAN JOURNAL OF FUZZY SYSTEMS | 2018年 / 15卷 / 04期
关键词
Chance theory; Uncertain random variable; Chance distribution; Convergence in distribution; Convergence in mean; FUZZY RANDOM-VARIABLES;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Convergence is an issue being widely concerned about. Thus, in this paper, we mainly put forward two types of concepts of convergence in mean and convergence in distribution for the sequence of uncertain random variables. Then some of theorems are proved to show the relations among the three convergence concepts that are convergence in mean, convergence in measure and convergence in distribution. Furthermore, several examples are given to illustrate how we use the theorems to make sure the uncertain random sequence being convergent. Finally, several counterexamples are taken to explain the relations between these different types of convergence.
引用
收藏
页码:31 / 42
页数:12
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