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JSRI 2010, 7(1): 37-46 Back to browse issues page
Analysis of Hybrid Censored Data from the Lognormal Distribution
A. Habibi Rad1 *1, F. Yousefzadeh
1- , ahabibi@um.ac.ir
Abstract:   (2927 Views)

The mixture of Type I and Type II censoring schemes, called the hybrid censoring. This article presents the statistical inferences on lognormal parameters when the data are hybrid censored. We obtain the maximum likelihood estimators (MLEs) and the approximate maximum likelihood estimators (AMLEs) of the unknown parameters. Asymptotic distributions of the maximum likelihood estimators are used to construct approximate confidence intervals. Monte Carlo simulations are performed to compare the performances of the different methods and one data set is analyzed for illustrative purposes.

Keywords: Approximate maximum likelihood estimate, asymptotic distribution, hybrid censoring, maximum likelihood estimate, Monte Carlo simulation
Full-Text [PDF 167 kb]   (1238 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/01/10 | Accepted: 2016/01/10 | Published: 2016/01/10
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Habibi Rad1 A, Yousefzadeh F. Analysis of Hybrid Censored Data from the Lognormal Distribution. JSRI. 2010; 7 (1) :37-46
URL: http://jsri.srtc.ac.ir/article-1-95-en.html


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Volume 7, Issue 1 (9-2010) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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