Douma et al. (2018) introduced a recursive kernel estimator of the hazard function in the framework of independent rightly censored data, and studied its weak convergence rate, without giving any result on its strong behavior. The aim of this paper is to establish a compact law of the iterated logarithm for this estimator, which requires an approach in the proof totally different from that used in Douma et al. (2018).

中文翻译：

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随机删失下风险率在线估计器的迭代对数紧致定律

杜马等人。(2018) 在独立右删失数据的框架中引入了风险函数的递归核估计器，并研究了其弱收敛速度，但没有给出其强行为的任何结果。本文的目的是为这个估计量建立一个紧凑的迭代对数定律，这需要一种与 Douma 等人使用的方法完全不同的证明方法。(2018)。