Approximate self consistency for middle-censored data

被引：18

作者：

Jammalamadaka, SR ^{[1
]}

Iyer, SK

机构：

[1] Univ Calif Santa Barbara, Dept Stat & Appl Probabil, Santa Barbara, CA 93106 USA

[2] Indian Inst Technol, Dept Math, Kanpur 208016, Uttar Pradesh, India

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2004年 / 124卷 / 01期

关键词：

middle censoring; self-consistent estimator; consistency; weak convergence;

D O I：

10.1016/S0378-3758(03)00199-X

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

Middle censoring refers to data that becomes unobservable if it falls within a random interval. The lifetime distribution of such data is defined via the self-consistency equation. We propose an approximation to this distribution function for which an estimator and its asymptotic properties are very easy to establish. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：75 / 86

页数：12

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