On convergence of LAD estimates in autoregression with infinite variance
Hong-Zhi An and
Zhao-guo Chen
Journal of Multivariate Analysis, 1982, vol. 12, issue 3, 335-345
Abstract:
The least absolute deviation estimates L(N), from N data points, of the autoregressive constants a = (a1, ..., aq)' for a stationary autoregressive model, are shown to have the property that N[sigma](L(N) - a) converge to zero in probability, for [sigma]
Keywords: Autoregressive; model; domain; of; attraction; of; a; stable; law; of; index; [alpha]; least; absolute; deviation (search for similar items in EconPapers)
Date: 1982
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(82)90070-7
Full text for ScienceDirect subscribers only
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:eee:jmvana:v:12:y:1982:i:3:p:335-345
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().