Title: Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model
Authors: Lai, YH
Thompson, P
Chen, LA
統計學研究所
Institute of Statistics
Keywords: generalized estimation;linear regression;trimmed mean
Issue Date: 15-Apr-2004
Abstract: We propose a generalized and pseudo-generalized trimmed means for the linear regression with AR(1) errors model. These will play the role of robust-type generalized and pseudo-generalized estimators for this regression model. Their asymptotic distributions are developed. (C) 2003 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.spl.2003.08.003
http://hdl.handle.net/11536/26875
ISSN: 0167-7152
DOI: 10.1016/j.spl.2003.08.003
Journal: STATISTICS & PROBABILITY LETTERS
Volume: 67
Issue: 3
Begin Page: 203
End Page: 211
Appears in Collections:Articles


Files in This Item:

  1. 000220782400001.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.