Parameter Estimation for Lomax Distribution under Type II Censoring

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 912-914)
• Pages: 1663-1668
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.912-914.1663
• Online since: April 2014
• Authors: Min Yang*, Cheng Dong Wei, Qing Zhu Fan
• Keywords: EM Algorithm, Fisher Information Matrix, Maximum Likelihood Estimates, NR Method, Type-II Censoring

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