caa a22 4500 378910167 CHVBK 20180305123539.0 cr unu---uuuuu 161128e200404 xx s 000 0 eng 10.1515/EQC.2004.83 doi (NATIONALLICENCE)gruyter-10.1515/EQC.2004.83 Hanagal David D. Department of Statistics, University of Pune, Pune-411007, India Parametric Bivariate Regression Analysis Based on Censored Samples: A Weibull Model [Elektronische Daten] [David D. Hanagal] 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. © Heldermann Verlag Bivariate Weibull model nationallicence Parametric regression nationallicence Survival times nationallicence Economic Quality Control Walter de Gruyter GmbH & Co. KG 19/1(2004-04), 83-90 0940-5151 19:1<83 2004 19 EQC https://doi.org/10.1515/EQC.2004.83 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.1515/EQC.2004.83 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Hanagal David D. Department of Statistics, University of Pune, Pune-411007, India NATIONALLICENCE 773 0- Economic Quality Control Walter de Gruyter GmbH & Co. KG 19/1(2004-04), 83-90 0940-5151 19:1<83 2004 19 EQC CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter