EconPapers    
Economics at your fingertips  
 

A Bivariate Weibull Regression Model

Hanagal David D.
Additional contact information
Hanagal David D.: Department of Statistics, University of Pune, Pune-411007, India

Stochastics and Quality Control, 2005, vol. 20, issue 1, 143-150

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.

Keywords: Bivariate Weibull model; parametric regression; survival times (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://doi.org/10.1515/EQC.2005.143 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:20:y:2005:i:1:p:143-150:n:3

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/EQC.2005.143

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:ecqcon:v:20:y:2005:i:1:p:143-150:n:3