Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154006 | Statistical Methodology | 2008 | 13 Pages |
Abstract
The kernel smoothed Nelson–Aalen estimator has been well investigated, but is unsuitable when some of the censoring indicators are missing. A representation introduced by Dikta, however, facilitates hazard estimation when there are missing censoring indicators. In this article, we investigate (i) a kernel smoothed semiparametric hazard estimator and (ii) a kernel smoothed “pre-smoothed” Nelson–Aalen estimator. We derive the asymptotic normality of the proposed estimators and compare their asymptotic variances.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Sundarraman Subramanian, Derek Bean,