Journal of the Korean Data and Information Science Society
- Volume 14 Issue 4
- /
- Pages.789-797
- /
- 2003
- /
- 1598-9402(pISSN)
Test for Independence in Bivariate Weibull Model under Bivariate Random Censorship
- Cho, Jang-Sik (Department of Statistical Information Science, Kyungsung University) ;
- Cho, Kil-Ho (Department of Statistics, Kyungpook National University) ;
- Lee, Woo-Dong (Faculty of Information and Science, Kyungsan University)
- Published : 2003.11.30
Abstract
In this paper, we consider two components system which have bivariate weibull model with bivariate random censored data. We proposed large sample test for independence based on maximum likelihood estimator and relative frequency estimator, respectively. Also we derive asymptotic properties for the large sample tests and present a numerical study.
Keywords
- Bivariate random censored data;
- Bivariate weibull model;
- Maximum likelihood estimator;
- Relative frequency estimator