期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2013
卷号：12
期号：2
页码：19
出版社：Wayne State University
摘要：The estimation of two parameters of the Kumaraswamy distribution is considered under Type II progressive censoring with random removals, where the number of units removed at each failure time has a binomial distribution. The MLE was used to obtain the estimators of the unknown parameters, and the asymptotic variance - covariance matrix was also obtained. The formula to compute the expected test time was derived. A numerical study was carried out for different combinations of model parameters. Different censoring schemes were used for the estimation, and performance of these schemes was compared.
关键词：Expected test time; maximum likelihood estimation; progressive censoring; random removals
