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December, 1990 A Weibull Model for Dependent Censoring
Sherrie E. Emoto, Peter C. Matthews
Ann. Statist. 18(4): 1556-1577 (December, 1990). DOI: 10.1214/aos/1176347866

Abstract

A bivariate Weibull model is proposed for censored survival data when there may be dependence between the survival and censoring random variables. The model is based on marginal transformations of the Pickands class of bivariate exponential distributions. Assuming the model to hold, the joint distribution of survival and censoring times is shown to be identifiable, and the maximum likelihood estimator of the parameters is shown to be consistent.

Citation

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Sherrie E. Emoto. Peter C. Matthews. "A Weibull Model for Dependent Censoring." Ann. Statist. 18 (4) 1556 - 1577, December, 1990. https://doi.org/10.1214/aos/1176347866

Information

Published: December, 1990
First available in Project Euclid: 12 April 2007

zbMATH: 0721.62027
MathSciNet: MR1074423
Digital Object Identifier: 10.1214/aos/1176347866

Subjects:
Primary: 62F10
Secondary: 62N05, 62P10

Rights: Copyright © 1990 Institute of Mathematical Statistics

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Vol.18 • No. 4 • December, 1990
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