4029

Roshanak Zaman and Parviz Nasiri

مجله پژوهشهاي آماري ايران

Statistical Research and Training Center پژوهشكده آمار

2020

17

1

113- 134

Bayes estimator , binomial censoring scheme , EM algorithm , maximum likelihood estimator , Lomax distribution , Lindley approximation , type II progressive censoring

This paper considers parameter estimations in Lomax distribution under progressive type-II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The maximum likelihood estimators (MLEs) are derived using the expectation-maximization (EM) algorithm. The Bayes estimates of the parameters are obtained using both the squared error and the asymmetric loss functions based on the Lindley approximation. We compare the performance of our procedures using a simulation study and real data.