A central limit theorem for weighted sums of associated random field
Mi-Hwa Ko
Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 1, 1-8
Abstract:
In this paper we obtain the central limit theorem for weighted sums of the form ∑1 ⩽ i ⩽ nan, iXi, where {an,i,n∈Z+d,i∈Z+d,1≤i≤n}$\lbrace a_{\mathbf {n,i}}, \mathbf {n}\in \mathbb {Z}_+^d, \mathbf {i }\in \mathbb {Z}_+^d, \mathbf {1\le i \le n}\rbrace$ is an array of non negative numbers such that supn≥1∑1≤i≤nan,i2
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2013.815212 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:45:y:2016:i:1:p:1-8
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2013.815212
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().