Edgeworth expansions for M-estimators of a regression parameter
S. N. Lahiri
Journal of Multivariate Analysis, 1992, vol. 43, issue 1, 125-132
Abstract:
This paper gives rth order Edgeworth expansions (r >= 3) for M-estimators of a regression parameter in a simple linear regression model. The regularity conditions used here essentially require the smoothness of some integrals of the score function with respect to the underlying error distribution. As a result, these expansions are valid for robust M-estimators corresponding to nonsmooth score functions.
Keywords: Edgeworth; expansion; M-estimator; regression; location; model (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(92)90112-S
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:43:y:1992:i:1:p:125-132
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 ().