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...
Veröffentlicht in: | Journal of the Royal Statistical Society. Series B (Statistical Methodology). - Blackwell Publishers. - 67(2005), 4, Seite 573-587 |
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1. Verfasser: | |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2005
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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 |
Zusammenfassung: | 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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ISSN: | 14679868 |