A Bivariate Weibull Regression Model

Abstract In this paper, we propose a new bivariate Weibull regression model based on censored samples with common covariates. There are some interesting biometrical situations which motivate the study of a bivariate Weibull regression model of the proposed type. A procedure for obtaining the maximum likelihood estimators for the parameters in the model is derived and a test of significance for the regression parameters is sketched.

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Year of publication:	2005
Authors:	Hanagal, David D.
Published in:	Stochastics and Quality Control. - Walter de Gruyter GmbH & Co. KG, ISSN 2367-2404, ZDB-ID 2905267-1. - Vol. 20.2005, 1, p. 143-150
Publisher:	Walter de Gruyter GmbH & Co. KG
Subject:	Bivariate Weibull model \| parametric regression \| survival times

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Type of publication:	Article
Type of publication (narrower categories):	research-article
Language:	English
Other identifiers:	10.1515/EQC.2005.143 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10014590781