Parametric Bivariate Regression Analysis Based on Censored Samples: A Weibull Model

Abstract In this paper, we propose a new bivariateWeibull distribution and derive estimation and test procedures based on censored samples with common covariates. The study of bivariate Weibull was motivated by interesting biometrical applications. The maximum likelihood estimators for the model parameters are obtained together with a test of significance.

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Year of publication:	2004
Authors:	Hanagal, David D.
Published in:	Stochastics and Quality Control. - Walter de Gruyter GmbH & Co. KG, ISSN 2367-2404, ZDB-ID 2905267-1. - Vol. 19.2004, 1, p. 83-90
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.2004.83 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10014590776