Journal article
Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1
Statistica Neerlandica, Vol.49(2), pp.153-163
Received: February 1994. Revised: August 1994.
07/1995
DOI: 10.1111/j.1467-9574.1995.tb01462.x
Abstract
We give a new proof of the asymptotic normality of a class of linear functionals of the nonparametric maximum likelihood estimator (NPMLE) of a distribution function with “case 1” interval censored data. In particular our proof simplifies the proof of asymptotic normality of the mean given in Groeneboom and Wellner (1992). The proof relies strongly on a rate of convergence result due to van de Geer (1993), and methods from empirical process theory. Copyright © 1995, Wiley Blackwell. All rights reserved
Details
- Title: Subtitle
- Asymptotic normality of the NPMLE of linear functionals for interval censored data, case 1
- Creators
- J Huang - University of WashingtonJ. A Wellner - University of Washington
- Resource Type
- Journal article
- Publication Details
- Statistica Neerlandica, Vol.49(2), pp.153-163
- Edition
- Received: February 1994. Revised: August 1994.
- Publisher
- Blackwell Publishing Ltd
- DOI
- 10.1111/j.1467-9574.1995.tb01462.x
- ISSN
- 0039-0402
- eISSN
- 1467-9574
- Number of pages
- 11
- Language
- English
- Date published
- 07/1995
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9984257620202771
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