A BOUND ON THE L(1)-ERROR OF A NONPARAMETRIC DENSITY ESTIMATOR WITH CENSORED-DATA

被引：6

作者：

KULASEKERA, KB ^{[1
]}

机构：

[1] CLEMSON UNIV,DEPT MATH SCI,CLEMSON,SC 29634

来源：

STATISTICS & PROBABILITY LETTERS | 1995年 / 23卷 / 03期

关键词：

CENSORED DATA; DENSITY ESTIMATOR; ERROR BOUNDS;

D O I：

10.1016/0167-7152(94)00118-R

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：

A bound on the expected L(1)-distance between a density and its estimator, based on randomly right censored data, is given for any sample size. It is noted that the leading terms in the bound are comparable to the terms in the uncensored case. Also, these terms agree with the asymptotic results for density estimation with censored data.

引用

页码：233 / 238

页数：6

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