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Empirical likelihood ratio with doubly truncated data

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  • Pao-Sheng Shen
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    Abstract

    Doubly truncated data appear in a number of applications, including astronomy and survival analysis. For doubly-truncated data, the lifetime T is observable only when U≤T≤V, where U and V are the left-truncated and right-truncated time, respectively. Based on the empirical likelihood approach of Zhou [21], we propose a modified EM algorithm of Turnbull [19] to construct the interval estimator of the distribution function of T. Simulation results indicate that the empirical likelihood method can be more efficient than the bootstrap method.

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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Journal of Applied Statistics.

    Volume (Year): 38 (2011)
    Issue (Month): 10 ()
    Pages: 2345-2353

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    Handle: RePEc:taf:japsta:v:38:y:2011:i:10:p:2345-2353

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    Keywords: likelihood ratio; double truncation; maximization;

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