جلد 18، شماره 1 - ( 4-1398 )                   جلد 18 شماره 1 صفحات 191-236 | برگشت به فهرست نسخه ها


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Sultana F, Tripathi Y, Kumar Rastogi M. Parameter Estimation and Prediction for the Generalized Half Normal Distribution under Progressive Hybrid Censoring. JIRSS. 2019; 18 (1) :191-236
URL: http://jirss.irstat.ir/article-1-492-fa.html
Parameter Estimation and Prediction for the Generalized Half Normal Distribution under Progressive Hybrid Censoring. پژوهشنامه انجمن آمار ایران. 1398; 18 (1) :191-236

URL: http://jirss.irstat.ir/article-1-492-fa.html


چکیده:   (740 مشاهده)
In this paper, the problem of estimating unknown parameters of a generalized half- normal distribution is considered under Type II progressive hybrid censoring which is a combination of Type II progressive and hybrid censoring schemes. We obtain maximum likelihood estimators of parameters and also construct asymptotic intervals using the observed Fisher information matrix. Further Bayes estimates are computed under the squared error loss function by applying different approximation methods. We also obtain prediction estimates and prediction intervals of censored observations. The performance of different methods is compared using Monte Carlo simulations and a real data set is analyzed for illustrative purposes.
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نوع مطالعه: Original Paper | موضوع مقاله: 62Nxx: Survival analysis and censored data
دریافت: ۱۳۹۶/۱۱/۲ | پذیرش: ۱۳۹۷/۶/۲۵ | انتشار: ۱۳۹۷/۹/۶

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