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中文摘要：
在{X，i≥l}是a混合的随机变量，（K，i≥l}是独立同分布的随机变量，且X与Y1相互独立的情形下，研究随机删失数据下概率密度函数的核估计，获得此核估计的逐点强相合性和一致强相合性．
英文摘要：
In this paper, we study the estimation of a density function based on censored data by the kernel smoothing mothed when the survival and the censoring times form a stationary strong mixing sequence. Pointwise consistency and u- niformly strong consistency of the kernel density estimation are derived.
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