TWO NONPARAMETRIC ESTIMATORS OF THE MEAN RESIDUAL LIFE

被引：0
|
作者：
Mugdadi, Abdel-Razzaq [1 ]
Teweldemedhin, Amanuel [2 ]
机构：
[1] Jordan Univ Sci & Technol, Dept Math & Stat, Irbid, Jordan
[2] Univ Wisconsin Richland, Richland Ctr, Dept Math, Richland, WI 53581 USA
来源：
REVSTAT-STATISTICAL JOURNAL | 2013年 / 11卷 / 03期
关键词：
mean residual life; kernel; empirical; estimation; mean square error; bandwidth; consistent; DENSITY; SELECTION;
D O I：
暂无
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：
The mean residual life function L(t) can be written based on the vitality function V(t). In this article we propose two methods to estimate V(t).the two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.
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页码：301 / 315
页数：15
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