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

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  • Pao-Sheng Shen

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    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. Copyright Sociedad de Estadística e Investigación Operativa 2013

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    File URL: http://hdl.handle.net/10.1007/s11749-012-0295-1
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    Article provided by Springer & Sociedad de Estadística e Investigación Operativa in its journal TEST.

    Volume (Year): 22 (2013)
    Issue (Month): 1 (March)
    Pages: 83-102

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    Handle: RePEc:spr:testjl:v:22:y:2013:i:1:p:83-102
    DOI: 10.1007/s11749-012-0295-1
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    1. Pao-sheng Shen, 2010. "Nonparametric analysis of doubly truncated data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(5), pages 835-853, October.
    2. Pao-sheng Shen, 2009. "A class of rank-based test for left-truncated and right-censored data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(2), pages 461-476, June.
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