Robust Differentiable Functionals for the Additive Hazards Model

In this article, we present a new family of estimators for the regression parameter β in the Additive Hazards Model which represents a gain in robustness not only against outliers but also against unspecific contamination schemes. They are consistent and asymptotically normal and furthermore, and th...

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Detalles Bibliográficos
Autores principales: Álvarez, Enrique Ernesto, Ferrario, Julieta
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Matemática
Robust Estimation
Additive Hazards Model
Survival Analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/81113
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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