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.
Feroze, Navid and El-Batal, Ibrahim
"Parameter Estimations Based On Kumaraswamy Progressive Type II Censored Data with Random Removals,"
Journal of Modern Applied Statistical Methods:
2, Article 19.
Available at: http://digitalcommons.wayne.edu/jmasm/vol12/iss2/19