Estimators for the interval censoring problem
Statistics Theory
2011-12-13 v2 Statistics Theory
Abstract
We study three estimators for the interval censoring case 2 problem, a histogram-type estimator, proposed in Birg\'e (1999), the maximum likelihood estimator (MLE) and the smoothed MLE, using a smoothing kernel. Our focus is on the asymptotic distribution of the estimators at a fixed point. The estimators are compared in a simulation study.
Keywords
Cite
@article{arxiv.1109.6176,
title = {Estimators for the interval censoring problem},
author = {Piet Groeneboom and Tom Ketelaars},
journal= {arXiv preprint arXiv:1109.6176},
year = {2011}
}
Comments
42 pages, 4 figures