In this paper, nonparametric estimation of the conditional Weibull-tail coefficient when the variable of interest is right random censored is addressed. A Weissman-type estimator of conditional extreme quantile is also proposed. In addition, a simulation study is conducted to assess the finite-sample behavior of the proposed estimators and a comparison with alternative strategies is provided. Finally, the practical applicability of the methodology is presented using a real datasets of men suffering from a larynx cancer.

翻译：在本文中,讨论了当利息变量是正确随机审查时对有条件的Weibull-tail系数的非参数估计问题,还提议采用Weissman型的有条件极端量化估计标准,此外,还进行了模拟研究,以评估拟议估算者有限的抽样行为,并与替代战略进行比较,最后,采用对患有喉癌的男子的真实数据集,介绍了该方法的实际适用性。