On nonparametric maximum likelihood estimation with interval censoring and left truncation |
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Authors: | Michael G. Hudgens |
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Affiliation: | University of North Carolina at Chapel Hill, USA |
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Abstract: | Summary. A graph theoretical approach is employed to describe the support set of the nonparametric maximum likelihood estimator for the cumulative distribution function given interval-censored and left-truncated data. A necessary and sufficient condition for the existence of a nonparametric maximum likelihood estimator is then derived. Two previously analysed data sets are revisited. |
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Keywords: | Graph theory Interval censoring Nonparametric maximum likelihood estimation Truncation |
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