Limit theorems for linear processes generated by ρ-mixing sequence
Zhiqiang Tang and
Yong Zhang
Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 17, 4081-4095
Abstract:
Let {ξi, i∈Z} be a strictly stationary ρ-mixing sequence of non degenerate random variables with zero means. In this paper, we study the central limit theorem and almost sure central limit theorem for self-normalized partial sums of linear processes generated by {ξi, i∈Z}.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1710761 (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:50:y:2021:i:17:p:4081-4095
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2019.1710761
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 ().