In this paper, The problem of estimating unknown paramaters of Lomax distribution is considered under the assumption that samples are type-II censoring. The maximum likelihood estimates are developed for unknown paramaters using EM algorithm and NR method. We obtain the observed Fisher information matrix using the missing information principle . A numerical study is performed to compare the proposed estimate.
Parameter Estimation of Kumaraswamy Distribution Based on Progressive Type II Censoring Scheme Using Expectation-Maximization Algorithm