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

页码：323 / 328

页数：5