Asymptotic properties of LS estimator in nonlinear functional EV models
Yu Miao and
Yuhang Zhen
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 21, 7575-7606
Abstract:
In this paper, we study the least squares estimator in nonlinear functional errors-in-variables models with dependent error, and establish the consistency and deviation inequalities of the estimator, which extend and improve some known results.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1875242 (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:51:y:2022:i:21:p:7575-7606
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1875242
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 ().