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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 5
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Original Articles

Estimation on Lomax progressive censoring using the EM algorithm

Amal HeluDepartment of Mathematics, The University of Jordan, Amman, Jordan
,
Hani SamawiJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USACorrespondence[email protected]
[email protected]
&
Mohammad Z. RaqabDepartment of Mathematics, The University of Jordan, Amman, Jordan
Pages 1035-1052 | Received 08 Nov 2012, Accepted 30 Oct 2013, Published online: 25 Nov 2013

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Guoqing Dong, Mohammed K. Shakhatreh & Daojiang He. (2024) Bayesian analysis for the Shannon entropy of the Lomax distribution using noninformative priors. Journal of Statistical Computation and Simulation 94:6, pages 1317-1338.
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Mehdi Bazyar, Einolah Deiri & Ezzatallah Baloui Jamkhaneh. (2023) Parameter estimation for the Moore-Bilikam distribution under progressive type-II censoring, with application to failure times. Mathematical Population Studies 30:3, pages 143-179.
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Weihua Shi & Wenhao Gui. (2023) Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme. Journal of Applied Statistics 0:0, pages 1-27.
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Yasin Asar & R. Arabi Belaghi. (2022) Inference for two Lomax populations under joint type-II censoring. Communications in Statistics - Simulation and Computation 51:11, pages 6808-6825.
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Liang Yan, Juan Geng, Lijun Wang & Daojiang He. (2021) Generalized fiducial inference for the Lomax distribution. Journal of Statistical Computation and Simulation 91:12, pages 2402-2413.
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Liang Wang, Xuanjia Zuo, Yogesh Mani Tripathi & Junyuan Wang. (2020) Reliability analysis for stress-strength model from a general family of truncated distributions under censored data. Communications in Statistics - Theory and Methods 49:15, pages 3589-3608.
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Xuehua Hu & Wenhao Gui. (2020) Assessing the lifetime performance index with Lomax distribution based on progressive type I interval censored sample. Journal of Applied Statistics 47:10, pages 1757-1775.
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Xuchao Bai, Yimin Shi, Yiming Liu & Bin Liu. (2018) Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function. Statistical Theory and Related Fields 2:1, pages 48-57.
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Articles from other publishers (5)

Mohamed S. Eliwa & Essam A. Ahmed. (2023) Reliability analysis of constant partially accelerated life tests under progressive first failure type-II censored data from Lomax model: EM and MCMC algorithms. AIMS Mathematics 8:1, pages 29-60.
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Rui Hua & Wenhao Gui. (2022) Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring. Computational Statistics 37:5, pages 2399-2436.
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Shuhan Liu & Wenhao Gui. (2019) Estimating the Entropy for Lomax Distribution Based on Generalized Progressively Hybrid Censoring. Symmetry 11:10, pages 1219.
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Amal S. Hassan & Marwa Abd-Allah. (2018) On the Inverse Power Lomax Distribution. Annals of Data Science 6:2, pages 259-278.
Crossref
N. Balakrishnan & Erhard CramerN. Balakrishnan & Erhard Cramer. 2014. The Art of Progressive Censoring. The Art of Progressive Censoring 267 312 .

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