%0 Journal Article
%T 右删失数据条件密度函数的非参数估计<br>Nonparametric Conditional Density Estimation for Right-Censored Data
%A 薛婧
%J Statistics and Applications
%P 1168-1179
%@ 2325-226X
%D 2022
%I Hans Publishing
%R 10.12677/SA.2022.115120
%X 本文考虑响应变量受到随机右删失的回归模型，在右删失数据与未受删失影响数据条件独立的情况下，构造了一种右删失数据条件密度函数的非参数估计量，进而得到该估计量的一致强相合性及其收敛速度，最后通过模拟探究了估计量的估计效果。<br />
In this paper, we consider a regression model in which the response is subject to random right censored. Under the assumption that survival time and censored time are conditional independent, we construct a nonparametric conditional density estimator. The uniform strong consistency of the conditional density estimator and its convergence rate are derived. Finally, we study the accuracy of the estimator.
%K 右删失数据，非参数估计，条件密度，一致强相合性<br>Right-Censored Data
%K Nonparametric Estimation
%K Conditional Density
%K Strong Consistency
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=57075