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:: Volume 14, Issue 2 (3-2018) ::
JSRI 2018, 14(2): 131-155 Back to browse issues page
Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family
Samaneh Ameli * , Majid Rezaie , Jafar Ahmadi
, s.ameli@birjand.ac.ir
Abstract:   (292 Views)
In this paper, the problem of predicting times to failure of units censored in multiple stages of progressively hybrid censoring for the proportional hazards family is considered. We discuss different classical predictors. The best unbiased predictor ($BUP$), the maximum likelihood predictor ($MLP$) and conditional median predictor ($CMP$) are all derived. As an example, the obtained results are computed for exponential distribution. A numerical example is presented to illustrate the prediction methods discussed here. Using simulation studies, the predictors are compared in terms of bias and mean squared prediction error ($MSPE$).
 
Keywords: Best unbiased predictor, conditional median predictor, maximum likelihood predictor, mean square prediction error, Monte-Carlo simulation, point predictor, progressive hybrid censoring.
Full-Text [PDF 255 kb]   (48 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/02/27 | Accepted: 2017/11/25 | Published: 2018/03/17
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Ameli S, Rezaie M, Ahmadi J. Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family . JSRI. 2018; 14 (2) :131-155
URL: http://jsri.srtc.ac.ir/article-1-269-en.html


Volume 14, Issue 2 (3-2018) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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