On Nonparametric Maximum Likelihood Estimation with Interval Censoring and Left Truncation

On Nonparametric Maximum Likelihood Estimation with Interval Censoring and Left Truncation

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 likelihoo...

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Veröffentlicht in:Journal of the Royal Statistical Society. Series B (Statistical Methodology). - Blackwell Publishers. - 67(2005), 4, Seite 573-587
1. Verfasser: Hudgens, Michael G. (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:Journal of the Royal Statistical Society. Series B (Statistical Methodology)
Schlagworte:Graph Theory Interval Censoring Nonparametric Maximum Likelihood Estimation Truncation Information science Mathematics Social sciences Arts
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520 |a 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. 
540 |a Copyright 2005 The Royal Statistical Society and Blackwell Publishing Ltd. 
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650 4 |a Interval Censoring 
650 4 |a Nonparametric Maximum Likelihood Estimation 
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