Goodness-of-fit test for randomly censored data based on maximum correlation

• Ewa Strzalkowska-Kominiak ^[1] ; Aurea Grané ^[2]
  1. [1] Cracow University of Technology

     Cracow University of Technology

     Kraków, Polonia

     
  2. [2] Universidad Carlos III de Madrid

     Universidad Carlos III de Madrid

     Madrid, España

     
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 41, Nº. 1, 2017, págs. 119-138
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • 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.

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