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Volume 18, Issue 3, September 2019, Pages 323 - 328
On the Asymptotic Behavior in Random Fields: The Central Limit Theorem
Authors
Mohammad Mehdi Saber1, Zohreh Shishebor2, *, Behnam Amiri2
1Department of Statistics, Higher Education Center of Eghlid, Eghlid, Iran
2Department of Statistics, Shiraz University, Shiraz, Iran
*Corresponding author. Email: shisheb@shirazu.ac.ir
Corresponding Author
Zohreh Shishebor
Received 1 October 2017, Revised 1 April 2018, Accepted 1 May 2018, Available Online 19 September 2019.
- DOI
- 10.2991/jsta.d.190830.001How to use a DOI?
- Keywords
- Central Limit Theorem; Increasing domain sampling; m-dependent
- Abstract
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.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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Cite this article
TY - JOUR AU - Mohammad Mehdi Saber AU - Zohreh Shishebor AU - Behnam Amiri PY - 2019 DA - 2019/09/19 TI - On the Asymptotic Behavior in Random Fields: The Central Limit Theorem JO - Journal of Statistical Theory and Applications SP - 323 EP - 328 VL - 18 IS - 3 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.190830.001 DO - 10.2991/jsta.d.190830.001 ID - Saber2019 ER -