Repositori institucional URV
| URV's Author/s: | Grané, Aurea Strzalkowska-Kominiak, Ewa |
| Journal publication year: | 2017 |
| Publication Type: | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| Abstract: | In this paper we study a goodness-of-fit test based on the maximum correlation coefficient, in the context of randomly censored data. We construct a new test statistic under general right- censoring and prove its asymptotic properties. Additionally, we study a special case, when the censoring mechanism follows the well-known Koziol-Green model. We present an extensive simulation study on the empirical power of these two versions of the test statistic, showing their ad- vantages over the widely used Pearson-type test. Finally, we apply our test to the head-and-neck cancer data. |
| Keywords: | Goodness-of-fit, Kaplan-Meier estimator, maximum correlation, random censoring |
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| DocumentPrincipal | DocumentPrincipal | application/pdf |
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