A class of rank-based tests for doubly-truncated data

被引：3
|
作者：
Shen, Pao-Sheng [1 ]
机构：
[1] Tunghai Univ, Dept Stat, Taichung 40704, Taiwan
来源：
TEST | 2013年 / 22卷 / 01期
关键词：
Retrospective sampling; Doubly-truncated; Semiparametric model; Two-sample tests; SURVIVAL;
D O I：
10.1007/s11749-012-0295-1
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 class of rank-based tests is proposed for the two-sample problem with doubly-truncated data. We consider both nonparametric and semiparametric approaches, where the truncation distribution is parameterized, while the lifetime distribution is left unspecified. The asymptotic distribution theory of the test is presented. The small-sample performance of the test is investigated under a variety of situations by means of Monte Carlo simulations. The proposed tests are illustrated using the CDC AIDS Blood Transfusion Data.
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页码：83 / 102
页数：20
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