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Empirical likelihood ratio tests for two sample comparison under current status data
Communications in Statistics - Simulation and Computation ( IF 0.8 ) Pub Date : 2020-12-17
Jin-Jian Hsieh, Tai-Yu Hsu, Ke-Yu Hou

Abstract

This article focuses on the two sample test of the survival function of the failure time under the current status data and introduces three types of the non-parametric two sample test of the survival function. This paper constructs the empirical likelihood ratio test with a weighted approach for the two sample comparison based on MLE, SMLE, and MSLE. A bootstrap method is given for constructing the null hypothesis distribution and determining p-value. In simulation studies, we examine the finite-sample performance of the proposed approach and compare it with an existing method.



中文翻译:

当前状态数据下两个样本比较的经验似然比检验

摘要

本文重点介绍了在当前状态数据下失效时间的生存函数的两样本检验,并介绍了三种类型的生存函数的非参数两样本检验。本文基于加权平均法,基于MLE,SMLE和MSLE的两个样本比较,构建了加权方法的经验似然比检验。给出了一种引导方法,用于构造零假设分布并确定p值。在仿真研究中,我们检查了该方法的有限样本性能,并将其与现有方法进行了比较。

更新日期:2020-12-17
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