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

页码：6000 / 6016

页数：17

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