2025/12/5
Hossein Bevrani

Hossein Bevrani

Academic rank: Professor
ORCID: 0000-0003-4658-9095
Education: PhD.
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Faculty: Faculty of Science
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E-mail: hossein.Bevrani [at] uok.ac.ir
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Research

Title
Estimation on Burr type III by progressive censoring using the EM and SEM algorithms
Type
Presentation
Keywords
Burr type III distribution, EM algorithm, stochastic EM algorithm(SEM), progressive censored data, maximum-Likelihood estimator
Year
2016
Researchers Reza Arabi Belaghi ، Fateme Valizadeh Gamchi ، Hossein Bevrani ، Özlem Gürünlü Alma

Abstract

There is no closed form for estimating two parameters of Burr distribution type III under progressive censored data using MLE method. Therefore, we are using the EM algorithm and stochastic EM algorithm(SEM) to estimate these parameters based on missing data. In addition, from fisher information matrix, the asymptotic variance-covariance matrix for the MLEs based on EM algorithm was obtained and then asymptotic confidence intervals was calculated. Then, simulation studies for stochastic EM algorithm, EM algorithm and MLE estimates were conducted and also real data related to white blood cells cancer patients were analyzed. The results showed that SEM and EM have better performance than MLE estimates and parameter estimation are improved when the sample size is increasing.