A bound for estimation in nonlinear time series models by independence testing methods
Andrey Feuerverger
Statistics & Probability Letters, 1988, vol. 6, issue 4, 237-241
Abstract:
The bound (19) is derived for the asymptotic efficiency of estimates of the parameter [beta] in the nonlinear time series model (1) when the estimation is based on testing for independence of the estimated residuals from the series past. For intrinsically linear time series models efficiency is attainable regardless of the distribution of the error terms.
Keywords: time; series; analysis; nonlinear; time; series; models; estimation; asymptotic; efficiency; testing; independence (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(88)90067-3
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:stapro:v:6:y:1988:i:4:p:237-241
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
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().