Abstract
In this article, we consider estimating the bivariate distribution function when both components are subject to double censoring. Using an inverse-probability-weighted approach, we propose a self-consistent estimator. The asymptotic properties of the proposed estimator are derived. A simulation study is conducted to investigate the performance of the proposed estimator.
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