• Corpus ID: 239015918

JEL ratio test for independence of time to failure and cause of failure in competing risks

@inproceedings{Sreelakshmy2021JELRT,
  title={JEL ratio test for independence of time to failure and cause of failure in competing risks},
  author={N. Sreelakshmy and Sreedevi E.P},
  year={2021}
}
In the present article, we propose jackknife empirical likelihood (JEL) ratio test for testing the independence of time to failure and cause of failure in competing risks data. We use U-statistic theory to derive the JEL ratio test. The asymptotic distribution of the test statistic is shown to be chi-square distribution with one degree of freedom. A Monte Carlo simulation study is carried out to assess the finite sample behaviour of the proposed test. The performance of proposed JEL test is… 

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ABSTRACT In this paper, we develop a simple nonparametric test for testing the independence of time to failure and cause of failure in competing risks set up. We generalise the test to the situation
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ABSTRACT In this article, we introduce a class of tests, using a martingale approach, for testing independence of failure time and cause of failure for competing risks data. Asymptotic distribution
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Consider the competing risks model where the individuals are subjected to k failures. Tests for independence between time to failure and cause of failure are widely discussed in literature. We
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