Estimation in a class of semiparametric transformation models
Abstract
We consider estimation in a class of semiparametric transformation models for right–censored data. These models gained much attention in survival analysis; however, most authors consider only regression models derived from frailty distributions whose hazards are decreasing. This paper considers estimation in a more flexible class of models and proposes conditional rank M-estimators for estimation of the Euclidean component of the model
Permanent link to this document: http://projecteuclid.org/euclid.lnms/1196283959
Digital Object Identifier: doi:10.1214/074921706000000437
Institute of Mathematical Statistics Lecture Notes - Monograph Series