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...

Full description

Saved in:
Bibliographic Details
Published inScandinavian journal of statistics Vol. 39; no. 1; pp. 15 - 33
Main Authors GROENEBOOM, PIET, JONGBLOED, GEURT, WITTE, BIRGIT I.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.03.2012
Blackwell Publishing
Danish Society for Theoretical Statistics
SeriesScandinavian Journal of Statistics
Subjects
Online AccessGet full text

Cover

Loading…
More Information
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.
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