| dc.contributor.author | Kosiorowski, Daniel | |
| dc.date.accessioned | 2013-06-06T13:34:32Z | |
| dc.date.available | 2013-06-06T13:34:32Z | |
| dc.date.issued | 2012 | |
| dc.identifier.issn | 0208-6018 | |
| dc.identifier.uri | http://hdl.handle.net/11089/1913 | |
| dc.description.abstract | In this paper a robust approach to the linear mixed model parameters estimation is proposed.
The approach appeals to the regression depth concept. Selected statistical features of the proposition
in a comparison to a generalized least squares estimator are investigated using Monte Carlo
approach. | pl_PL |
| dc.language.iso | pl | pl_PL |
| dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl_PL |
| dc.relation.ispartofseries | Acta Universitatis Lodziensis, Folia Oeconomica;271 | |
| dc.subject | Głębia regresyjna | pl_PL |
| dc.subject | Dane panelowe | pl_PL |
| dc.subject | Liniowy model mieszany | pl_PL |
| dc.title | Analiza danych panelowych z wykorzystaniem głębi regresyjnej | pl_PL |
| dc.title.alternative | Regression Depth Based Analysis of Panel Data | pl_PL |
| dc.type | Article | pl_PL |
| dc.page.number | 129-138 | |
| dc.contributor.authorAffiliation | Uniwersytet Ekonomiczny w Krakowie; Wydział Zarządzania; Katedra Statystyki | |
