On the Asymptotic Behavior in Random Fields: The Central Limit Theorem

被引：0
作者：
Mohammad Mehdi Saber
Zohreh Shishebor
Behnam Amiri
机构：
[1] Higher Education Center of Eghlid,Department of Statistics
[2] Shiraz University,Department of Statistics
来源：
Journal of Statistical Theory and Applications | 2019年 / 18卷
关键词：
Central Limit Theorem; Increasing domain sampling; m-dependent;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The aim of this paper is to provide an applicable version of Central Limit Theorem for strictly stationary m-dependent random fields on a lattice. The type of sampling is considered increasing domain sampling.
引用
收藏
页码：323 / 328
页数：5
相关论文
共 15 条
[1]  
Lahiri SN(1996)undefined Sankhya Ser. A. 58 403-417
[2]  
Lahiri SN(2003)undefined Sankhya Ser. A. Sankhya Ser. A. 65 356-388
[3]  
Park BU(2009)undefined Math Geosci 41 555-569
[4]  
Kim TY(2009)undefined J. Econ 150 86-98
[5]  
Park J-S(2012)undefined J. Econ 170 178-190
[6]  
Hwang SY(2013)undefined J. Stat. Plan. Inference 143 1285-1294
[7]  
Jenish N(2003)undefined Stat. Probab. Lett 64 323-333
[8]  
Ingmar PR(2009)undefined Stoch. Process. Appl 119 1298-1324
[9]  
Jenish N(2013)undefined Stoch. Process. Appl 123 1-14
[10]  
Ingmar PR(undefined)undefined undefined undefined undefined-undefined
12