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

Verfasser / Beitragende:
[David D. Hanagal]
Ort, Verlag, Jahr:
2004
Enthalten in:
Economic Quality Control, 19/1(2004-04), 83-90
Format:
Artikel (online)
ID: 378910167
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024 7 0 |a 10.1515/EQC.2004.83  |2 doi 
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100 1 |a Hanagal  |D David D.  |u Department of Statistics, University of Pune, Pune-411007, India 
245 1 0 |a Parametric Bivariate Regression Analysis Based on Censored Samples: A Weibull Model  |h [Elektronische Daten]  |c [David D. Hanagal] 
520 3 |a 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. 
540 |a © Heldermann Verlag 
690 7 |a Bivariate Weibull model  |2 nationallicence 
690 7 |a Parametric regression  |2 nationallicence 
690 7 |a Survival times  |2 nationallicence 
773 0 |t Economic Quality Control  |d Walter de Gruyter GmbH & Co. KG  |g 19/1(2004-04), 83-90  |x 0940-5151  |q 19:1<83  |1 2004  |2 19  |o EQC 
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