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:: Volume 17, Issue 1 (8-2020) ::
JSRI 2020, 17(1): 113-133 Back to browse issues page
Statistical Inference for the Lomax Distribution under Progressively Type-II Censoring with Binomial Removal
Roshanak Zaman1 , Parviz Nasiri 2
1- Payame Noor University (PNU)
2- Payame Noor University (PNU) , pnasiri45@yahoo.com
Abstract:   (285 Views)
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.
 
Keywords: Bayes estimator, binomial censoring scheme, EM algorithm, maximum likelihood estimator, Lomax distribution, Lindley approximation, type II progressive censoring.
Full-Text [PDF 848 kb]   (614 Downloads)    
Type of Study: Applicable | Subject: General
Received: 2021/08/16 | Accepted: 2021/12/13 | Published: 2020/08/22
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Zaman R, Nasiri P. Statistical Inference for the Lomax Distribution under Progressively Type-II Censoring with Binomial Removal. JSRI 2020; 17 (1) :113-133
URL: http://jsri.srtc.ac.ir/article-1-417-en.html


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Volume 17, Issue 1 (8-2020) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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