:: Volume 14, Issue 2 (3-2018) ::
JSRI 2018, 14(2): 189-217 Back to browse issues page
Inference for the Type-II Generalized Logistic Distribution with Progressive Hybrid Censoring
Mina Azizpour 1, Akbar Asgharzadeh
1- and Akbar Asgharzadeh , minaazizpoor@gmail.com
Abstract:   (4021 Views)
This article presents the analysis of the Type-II hybrid progressively censored data when the lifetime distributions of the items follow Type-II generalized logistic distribution. Maximum likelihood estimators (MLEs) are investigated for estimating the location and scale parameters. It is observed that the MLEs can not be obtained in explicit forms. We provide the approximate maximum likelihood estimators (AMLEs) by appropriately approximating the likelihood equations. Asymptotic confidence intervals based on MLEs and AMLEs and one bootstrap confidence interval are proposed.
Estimation of the shape parameter is also discussed. Monte Carlo simulations are performed to compare the performances of the different methods and two real data sets have been analyzed for illustrative purposes.
 
Keywords: Maximum likelihood estimation, progressively Type-II hybrid censoring, Type-II generalized logistic distribution.
Full-Text [PDF 1013 kb]   (1247 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/08/31 | Accepted: 2017/09/13 | Published: 2018/03/17
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