Composite Robust Estimators for Linear Mixed Models
The classical Tukey–Huber contamination model (CCM) is a commonly adopted framework to describe the mechanism of outliers generation in robust statistics. Given a dataset with n observations and p variables, under the CCM, an outlier is a unit, even if only one or a few values are corrupted. Classic...
Guardado en:
| Autores principales: | Agostinelli, C., Yohai, V.J. |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_01621459_v111_n516_p1764_Agostinelli |
| Aporte de: |
Ejemplares similares
-
Composite Robust Estimators for Linear Mixed Models
Publicado: (2016) -
Robust estimates for GARCH models
por: Muler, N., et al. -
Robust estimators of the generalized log-gamma distribution
por: Agostinelli, C., et al. -
Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
por: Agostinelli, C., et al. -
Highly robust and highly finite sample efficient estimators for the linear model
por: Smucler, E., et al.