【摘要】 本文改进了文献［１］中窗宽的条件；并且讨论了随机删失场合基于ＳｙｎｔｈｅｔｉｃＤａｔａ的回归函数递推核估计的强相合性，所得结论均与完全样本情况相对应更多还原

【Abstract】 This paper improves the condition of window size in paper ,and obtains the strong consistency of the curisive kernel estimator of m(x) under randomly censored data using the synthetic data method.The condition on window size h n and kernel function k(x) are consistent with those under the complete sample case.更多还原