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


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), 677-686. (doi:10.1093/biomet/88.3.677).

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Original Publication URL: http://dx.doi.org/10.1093/biomet/88.3.677

Description/Abstract

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.

Item Type: Article
ISSNs: 0006-3444 (print)
Related URLs:
Keywords: asymptotic normality, failure function, interval censoring, likelihood ratio test, monte carlo, nonparametric maximum pseudolikelihood estimator
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 30106
Date Deposited: 12 May 2006
Last Modified: 27 Mar 2014 18:18
URI: http://eprints.soton.ac.uk/id/eprint/30106

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