随机损失数据下回归函数核估计的强相合性

Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data

摘要: 在不完全数据下，本文得到了回归函数核估计的强相合性。这里所说的不完全数据是指子样数据按一定的随机律被删除。

Abstract: The strong consistencies of kernel estimates of a regression function are shown for incomplete sample. Here incomplete sample means that some sample points are missing according to a random missing mechanism operated on the obervation vectors.