Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model
| dc.citation.epage | 211 | en_US |
| dc.citation.issue | 3 | en_US |
| dc.citation.spage | 203 | en_US |
| dc.citation.volume | 67 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Lai, YH | en_US |
| dc.contributor.author | Thompson, P | en_US |
| dc.contributor.author | Chen, LA | en_US |
| dc.contributor.department | 統計學研究所 | zh_TW |
| dc.contributor.department | Institute of Statistics | en_US |
| dc.date.accessioned | 2014-12-08T15:39:20Z | |
| dc.date.available | 2014-12-08T15:39:20Z | |
| dc.date.issued | 2004-04-15 | en_US |
| dc.description.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. | en_US |
| dc.identifier.doi | 10.1016/j.spl.2003.08.003 | en_US |
| dc.identifier.issn | 0167-7152 | en_US |
| dc.identifier.journal | STATISTICS & PROBABILITY LETTERS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.spl.2003.08.003 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/26875 | |
| dc.identifier.wosnumber | WOS:000220782400001 | |
| dc.language.iso | en_US | en_US |
| dc.subject | generalized estimation | en_US |
| dc.subject | linear regression | en_US |
| dc.subject | trimmed mean | en_US |
| dc.title | Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model | en_US |
| dc.type | Article | en_US |