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A nonparametric two-sample test of the failure function with interval censoring case 2

Record type: Article

For the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth functional of the nonparametric maximum pseudolikelihood estimator, is developed to compare the failure functions of two populations. Monte Carlo simulation studies on Weibull distributions show that this test performs quite well in many situations in comparison with the parametric likelihood ratio test. A real dataset from an study is used to illustrate the new test.

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Citation

Zhang, Ying, Liu, Wei and Zhan, Yihui (2001) A nonparametric two-sample test of the failure function with interval censoring case 2 Biometrika, 88, (3), pp. 677-686. (doi:10.1093/biomet/88.3.677).

More information

Published date: 2001
Keywords: asymptotic normality, failure function, interval censoring, likelihood ratio test, monte carlo, nonparametric maximum pseudolikelihood estimator
Organisations: Statistics

Identifiers

Local EPrints ID: 30106
URI: http://eprints.soton.ac.uk/id/eprint/30106
ISSN: 0006-3444
PURE UUID: bec9bc6b-daaa-4f3d-8cb6-ebc9c56e6c8c
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

Catalogue record

Date deposited: 12 May 2006
Last modified: 17 Jul 2017 15:55

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Contributors

Author: Ying Zhang
Author: Wei Liu ORCID iD
Author: Yihui Zhan

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