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Approximate self consistency for middle-censored data

✍ Scribed by S.Rao Jammalamadaka; Srikanth K. Iyer

Book ID
104339932
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
229 KB
Volume
124
Category
Article
ISSN
0378-3758

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✦ Synopsis

Middle censoring refers to data that becomes unobservable if it falls within a random interval. The lifetime distribution of such data is deΓΏned via the self-consistency equation. We propose an approximation to this distribution function for which an estimator and its asymptotic properties are very easy to establish.

πŸ“œ SIMILAR VOLUMES

On self-consistent estimators and kernel
On self-consistent estimators and kernel density estimators with doubly censored data
✍ Jian-Jian Ren πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 667 KB

We study the detailed structure (in a large sample) of the self-consistent estimators of the survival functions with doubly censored data. We also introduce the kernel-type density estimators based on the self-consistent estimators, and using our results on the structure of the self-consistent estim