Smooth plug-in inverse estimators in the current status continuous mark model

Details Smooth plug-in inverse estimators in the current status continuous mark model Smooth plug-in inverse estimators in the current status continuous mark model

2011-02-09

arxiv.org/abs/1102.1875v1

Mathematics

Statistics Theory

29 pages, 12 figures

Scientific paper

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 nonparametric 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.

Affiliated with

Also associated with

No associations

Rating

Smooth plug-in inverse estimators in the current status continuous mark model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Smooth plug-in inverse estimators in the current status continuous mark model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Smooth plug-in inverse estimators in the current status continuous mark model will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-650300