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中文摘要：
本文构造了竞争风险场合分布函数的乘积极限（PL）型估计，运用经验过程的强逼近理论及Toylor展开方法，给出了PL型估计在全直线上的强一致收敛速度及其充分必要条件。
英文摘要：
In this paper, we introduce the product-limit estimator of a distribution function under competing risks case. We give the rate of strong uniform convergence of the PL-type estimator over the whole line and drive sufficient and necessary conditions by the strong approximation of empirical process and Taylor expansion.
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