Estimating The Parameters of Bivariate Weibull Distribution under Random Censoring
We consider the problem of estimation of the parameters of the Marshall-Olkin Bivariate Weibull distribution in the presence of random censoring. Since the maximum likelihood estimators of the parameters can not be expressed in a closed form, we suggest an EM algorithm to compute the same. Extensive simulations are done to conclude that the estimators perform efficiently under random censoring.
Marshall-Olkin Bivariate Distribution Random Censoring EM Algorithm Pseudo Likelihood
SWAGATA NANDI ISHA DEWAN
Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, Delhi Centre, 7, S. J. S. Sansanwal Marg, New Delhi - 110016
国际会议
北京
英文
320-325
2011-06-20(万方平台首次上网日期,不代表论文的发表时间)