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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25153

Title: The nonparametric bootstrap for the current statusmodel
Authors: Groeneboom, Piet
Hendrickx, Kim
Issue Date: 2017
Citation: Electronic journal of statistics, 11(2), p. 3446-3484
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 Lp-distance. We also discuss applications of this result to the current status regression model.
URI: http://hdl.handle.net/1942/25153
DOI: 10.1214/17-EJS1345
ISSN: 1935-7524
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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