本文讨论了在随机右删失情况下一种平滑非参数分位估计x_n(p)(x_n(p)是F_n(x)=\int^x_{-\infty}\int_{-infty}^{\infty}h_n^{-1}K((t-y)/h_n)d\hat{F}_n(y)dt-p的解)．在一定的条件下获得了x_n(p)的Bahadur表示，作为推论获得了x_n(p)的渐近正态分布和重对数律．

On the basis of randomly right-censored data,a smooth nonparametric quantile estimator is studied.The estimator is defined to be the solution xn(p) of Fn(x)=p,where Fn(x)=Under some conditions,we obtain the Bahadur representation of xn(p).Using this result,we derive the asymptotic normal distribution and the iterated logarithm law.