209 research outputs found

    Large deviation theorems for empirical distribution functions : (prepublication)

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    Some current developments in density estimation

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    Estimating a monotone density

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    Bahadur efficiency and small-sample eficiency: a numerical study

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    Inconsistency of the MLE for the joint distribution of interval censored survival times and continuous marks

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    This paper considers the nonparametric maximum likelihood estimator (MLE) for the joint distribution function of an interval censored survival time and a continuous mark variable. We provide a new explicit formula for the MLE in this problem. We use this formula and the mark specific cumulative hazard function of Huang and Louis (1998) to obtain the almost sure limit of the MLE. This result leads to necessary and sufficient conditions for consistency of the MLE which imply that the MLE is inconsistent in general. We show that the inconsistency can be repaired by discretizing the marks. Our theoretical results are supported by simulations.Comment: 27 pages, 4 figure
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