Smooth Plug-in Inverse Estimators in the Current Status Continuous Mark Model
We consider the problem of estimating the joint distribution function of the event time and a continuous mark variable when the event time is subject to interval censoring case 1 and the continuous mark variable is only observed in case the event occurred before the time of inspection. The non-param...
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Published in | Scandinavian journal of statistics Vol. 39; no. 1; pp. 15 - 33 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.03.2012
Blackwell Publishing Danish Society for Theoretical Statistics |
Series | Scandinavian Journal of Statistics |
Subjects | |
Online Access | Get full text |
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Summary: | We consider the problem of estimating the joint distribution function of the event time and a continuous mark variable when the event time is subject to interval censoring case 1 and the continuous mark variable is only observed in case the event occurred before the time of inspection. The non-parametric maximum likelihood estimator in this model is known to be inconsistent. We study two alternative smooth estimators, based on the explicit (inverse) expression of the distribution function of interest in terms of the density of the observable vector. We derive the pointwise asymptotic distribution of both estimators. |
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Bibliography: | istex:2BE69E8DDDFC0CD61B5D34F6D992A825728DA6D4 ark:/67375/WNG-5BFFVZWM-R ArticleID:SJOS755 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
ISSN: | 0303-6898 1467-9469 |
DOI: | 10.1111/j.1467-9469.2011.00755.x |