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A class of estimators of the survival function from interval-censored data (1996)

Abstract
A model of interval censorship of a failure time T is considered when there is only one inspection time Y. The observable data are n independent copies of the pair $(Y, \delta)$, where $\delta = [T \leq Y]$. We construct a class of self-consistent estimators of the survival function of T defined implicitly through two equations and show their strong consistency under certain conditions. The properties of the onparametric maximum likelihood estimator are also investigated.

Publication details
Download http://ProjectEuclid.org/getRecord?id=euclid.aos/1032894457
Publisher The Institute of Mathematical Statistics
Repository Project Euclid (Hosted at Cornell University Library) (United States)
Keywords 60G05 (MSC1991), 62G99 (MSC1991), Interval censorship, self-consistency, EM algorithm, counting process
Type text
Language Englisch