Least squares estimators of the regression function with twice censored data

被引：7
|
作者：
Kebabi, K. [1 ]
Laroussi, I. [1 ]
Messaci, F. [1 ]
机构：
[1] Univ Mentouri, Dept Math, Constantine 25017, Algeria
来源：
STATISTICS & PROBABILITY LETTERS | 2011年 / 81卷 / 11期
关键词：
Regression estimators; Least squares estimators; Twice censored data; Convergence in the L(2)-norm;
D O I：
10.1016/j.spl.2011.06.010
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：
We propose least squares estimators of E(Y/X = x) for Y censored on the right by R and min(Y, R) left censored. We establish their convergence in the L(2)-norm. This work extends a known result in the context of right censoring. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：1588 / 1593
页数：6
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