On moment convergence for some order statistics

被引:1
|
作者
Wang, Jin-liang [1 ]
Deng, Chang-shou [2 ]
Li, Jiang-feng [1 ]
机构
[1] Jiujiang Univ, Sci Dept, Jiujiang, Jiangxi, Peoples R China
[2] Jiujiang Univ, Elect & Informat Engn Dept, Jiujiang, Jiangxi, Peoples R China
来源
AIMS MATHEMATICS | 2022年 / 7卷 / 09期
关键词
convergence in distribution; convergence in probability; moment convergence; order statistic; uniform integrability;
D O I
10.3934/math.2022938
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
By exploring the uniform integrability of a sequence of some order statistics (OSs), we obtain the moment convergence conclusion of the sequence under some weak conditions even when the corresponding population of interest has no moment of any positive order. As an application, we embody the range of applications of a theorem presented in a reference dealing with the approximation of the difference between the moment of a sequence of normalized OSs and the corresponding moment of a standard normal distribution. By the aid of the embodied theorem, we explore the infinitesimal type of the moments of errors when we estimate some population quantiles by relative OSs. Finally, by the obtained conclusion, we can easily get a combination formula which seems hard to be proved in other methods.
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页码:17061 / 17079
页数:19
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