A class of rank-based tests for doubly-truncated data

• Pao-Sheng Shen ^[1]
  1. [1] Tunghai University

     Tunghai University

     Taiwán

     
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 22, Nº. 1, 2013, págs. 83-102
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • A class of rank-based tests is proposed for the two-sample problem with doubly-truncated data. We consider both nonparametric and semiparametric approaches, where the truncation distribution is parameterized, while the lifetime distribution is left unspecified. The asymptotic distribution theory of the test is presented. The small-sample performance of the test is investigated under a variety of situations by means of Monte Carlo simulations. The proposed tests are illustrated using the CDC AIDS Blood Transfusion Data.