Estimation of conditional mode with truncated, censored, and dependent data

被引：0
|
作者：
Baek, Jong-Il [1 ,2 ]
Niu, Si-Li [3 ]
机构：
[1] Wonkwang Univ, Div Math & Informat Stat, Iksan, South Korea
[2] Wonkwang Univ, Inst Basic Nat Sci, Iksan, South Korea
[3] Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Asymptotic normality; conditional mode; truncated and censored data; uniform convergence with rate; alpha-mixing; FAILURE TIME DATA; NONPARAMETRIC-ESTIMATION; DENSITY; CONVERGENCE; PREDICTION;
D O I：
10.1080/03610926.2015.1116575
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this paper, we studied the uniform convergence with rates for the kernel estimator of the conditional mode function for a left truncated and right censored model. It is assumed that the lifetime observations with multivariate covariates form a stationary -mixing sequence. Also, the asymptotic normality of the estimator is established.
引用
收藏
页码：6000 / 6016
页数：17
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