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arXiv · 0812.2987

Hazard Estimation under Generalized Censoring

Alberto Carabarin Aguirre·B. Gail Ivanoff
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Abstract

This paper focuses on the problem of the estimation of the cumulative hazard function of a distribution on a general complete separable metric space when the data points are subject to censoring by an arbitrary adapted random set. A problem involving observability of the estimator proposed in [8] and [9] is resolved and a functional central limit theorem is proven for the revised estimator. Several examples and applications are discussed, and the validity of bootstrap methods is established in each case.

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Alberto Carabarin Aguirre, B. Gail Ivanoff. 2008-12-16. Hazard Estimation under Generalized Censoring. https://doi.org/10.1214/09-ejs340

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