Almost sure convergence for weighted sums of φ-mixing random variables with applications
João Lita da Silva
Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 16, 3882-3894
Abstract:
For a sequence {Xn, n ⩾ 1} of φ-mixing random variables and a triangular array of constants {an,k,1⩽k⩽n,n ⩾ 1} conditions are given to ensure that ∑k=1nan,k(Xk−E Xk)/bn→a.s.0, where {bn} is a prescribed sequence of positive constants. Our statements are established at the extension of a Rosenthal type inequality for φ-mixing random variables and discard any assumption on the mixing coefficient. The proposed results are employed in well-known estimators arising from regression models in order to obtain its strong consistency.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1594302 (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:49:y:2020:i:16:p:3882-3894
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2019.1594302
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 ().