en عمومى General كاربردي Applicable <span style="font-size:11pt"><span style="line-height:normal"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times="">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.</span></span></span></span></span><br> &nbsp; Bayes estimator, binomial censoring scheme, EM algorithm, maximum likelihood estimator, Lomax distribution, Lindley approximation, type II progressive censoring. 113 133 http://jsri.srtc.ac.ir/browse.php?a_code=A-10-147-4&slc_lang=en&sid=1 Roshanak Zaman روشنک زمان roshanak.zamani@gmail.com 10031947532846002395 10031947532846002395 No Payame Noor University (PNU) Parviz Nasiri پرویز نصیری pnasiri45@yahoo.com 10031947532846002396 10031947532846002396 Yes Payame Noor University (PNU)