Some limit theorems of delayed sums for rowwise conditionally independent stochastic arrays

Z.-Z. Wang

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 11, 5265-5272

Abstract: This paper is concerned with the asymptotic property of delayed sums for rowwise conditionally independent stochastic arrays. The main technique of the proofing is to construct non negative random variables with one parameter and to apply the Borel–Cantelli lemma to obtaining almost everywhere convergence. The relevant results for non homogeneous Markov chains indexed by a tree are extended.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2015.1099674 (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:46:y:2017:i:11:p:5265-5272

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2015.1099674

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 ().