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Estimation of stage occupation probabilities in multistage systems under current status data
by
Somnath Datta
University of Georgia
We consider nonparametric estimation of stage occupation probabilities for a multistage system that is not necessarily Markovian. The underlying data consist of the stages occupied by the individuals in the system each observed at a random time (current status data). We show that a kernel smoothing technique combined with weighted estimation can be used to obtain valid estimators of stage occupation probabilities.
Date received: August 21, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cais-07.