Approaches to robust estimation in the simplest variance components model
| dc.contributor.author | Stahel, Werner A. | en |
| dc.contributor.author | Welsh, Alan | en |
| dc.date.accessioned | 2026-01-01T10:42:13Z | |
| dc.date.available | 2026-01-01T10:42:13Z | |
| dc.date.issued | 1997-02-01 | en |
| dc.description.abstract | The simplest case of a random effects or variance components model is given by g groups with random location. We apply several general principles which can help to obtain robust methods to this situation. Two approaches, introduced by Rocke (Biometrika 70 (1983) 303-309) and Fellner (Technometrics 28 (1985) 51-60) are described and elaborated. A small simulation study suggests that considerable gains can be obtained by using robust procedures. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 25 | en |
| dc.identifier.issn | 0378-3758 | en |
| dc.identifier.scopus | 0031065931 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733799827 | |
| dc.language.iso | en | en |
| dc.source | Journal of Statistical Planning and Inference | en |
| dc.subject | Approaches to robust statistics | en |
| dc.subject | Huberizing | en |
| dc.subject | Random effects | en |
| dc.subject | Robust maximum likelihood | en |
| dc.title | Approaches to robust estimation in the simplest variance components model | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 319 | en |
| local.bibliographicCitation.startpage | 295 | en |
| local.contributor.affiliation | Stahel, Werner A.; Swiss Federal Institute of Technology Zurich | en |
| local.contributor.affiliation | Welsh, Alan; Research School of Finance, Actuarial Studies and Statistics, Research School of Finance, Actuarial Studies & Statistics, ANU College of Business & Economics, The Australian National University | en |
| local.identifier.citationvolume | 57 | en |
| local.identifier.doi | 10.1016/s0378-3758(96)00050-x | en |
| local.identifier.pure | 4a270594-ab5d-4cfc-929e-707202b6d98e | en |
| local.identifier.url | https://www.scopus.com/pages/publications/0031065931 | en |
| local.type.status | Published | en |