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右删失数据条件密度函数的非参数估计
Nonparametric Conditional Density Estimation for Right-Censored Data

DOI: 10.12677/SA.2022.115120, PP. 1168-1179

Keywords: 右删失数据,非参数估计,条件密度,一致强相合性
Right-Censored Data
, Nonparametric Estimation, Conditional Density, Strong Consistency

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Abstract:

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。
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.

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