ROBUST ESTIMATION IN COX REGRESSION-MODEL

A robust estimation problem in Cox's regression model is considered. Modifications are proposed of the partial likelihood estimator which result from Frechet differentiable von Mises functionals. The differentiability is used to establish such robustness properties of the estimators as consistency and asymptotc normality under an infinitesimal non-parametric extension of Cox's semi-parametric model.