The missing censoring indicator model and the smoothed bootstrap
Copyright policy )The missing censoring indicator model and the smoothed bootstrap
For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE). It is shown that the smoothed bootstrap offers a motivation for choosing the proposed MISE estimates for minimization. The efficacy of the proposed procedures is investigated through simulation studies and some illustrations are provided.
- University of California, Berkeley United States
- New Jersey Institute of Technology United States
Density estimation, Censored data models, Computational problems in statistics, Nonparametric statistical resampling methods, Estimation in survival analysis and censored data
Density estimation, Censored data models, Computational problems in statistics, Nonparametric statistical resampling methods, Estimation in survival analysis and censored data
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!