ZHANG Shuanglin. Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
Citation:
ZHANG Shuanglin. Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
ZHANG Shuanglin. Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
Citation:
ZHANG Shuanglin. Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data[J]. Chinese Journal of Applied Probability and Statistics, 1997, 13(2): 204-210.
Strong Consistency of Kernel Regression Function Estimation for Randomly Missing Data
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.
DownLoad: