Print Email Facebook Twitter The nonparametric bootstrap for the current status model Title The nonparametric bootstrap for the current status model Author Groeneboom, P. (TU Delft Statistics) Hendrickx, K. (University of Hasselt) Date 2017 Abstract It has been proved that direct bootstrapping of the nonparametric maximum likelihood estimator (MLE) of the distribution function in the current status model leads to inconsistent confidence intervals. We show that bootstrapping of functionals of the MLE can however be used to produce valid intervals. To this end, we prove that the bootstrapped MLE converges at the right rate in the L p Lp -distance. We also discuss applications of this result to the current status regression model. Subject Bootstrapcurrent statusMLEsmooth functionals To reference this document use: http://resolver.tudelft.nl/uuid:da89b70a-d42f-458f-89f1-7291a4ccd74f DOI https://doi.org/10.1214/17-EJS1345 ISSN 1935-7524 Source Electronic Journal of Statistics, 11 (2), 3446-3484 Part of collection Institutional Repository Document type journal article Rights © 2017 P. Groeneboom, K. Hendrickx Files PDF 1507255611.pdf 717.52 KB Close viewer /islandora/object/uuid:da89b70a-d42f-458f-89f1-7291a4ccd74f/datastream/OBJ/view