RT - Journal Article T1 - Prediction of Times to Failure of Censored Units in Hybrid Censored Samples from Exponential Distribution JF - srtc-jsri YR - 2012 JO - srtc-jsri VO - 9 IS - 1 UR - http://jsri.srtc.ac.ir/article-1-65-en.html SP - 11 EP - 30 K1 - Hybrid censoring K1 - exponential distribution K1 - maximum likelihood predictor K1 - best unbiased predictor K1 - conditional median predictor K1 - Bayesian predictor K1 - Monte Carlo simulation AB - In this paper, we discuss different predictors of times to failure of units censored in a hybrid censored sample from exponential distribution. Bayesian and non-Bayesian point predictors for the times to failure of units are obtained. Non-Bayesian prediction Intervals are obtained based on pivotal and highest conditional density methods. Bayesian prediction intervals are also proposed. One real data set has been analyzed to illustrate all the prediction methods. Finally, different prediction methods have been compared using Monte Carlo simulations. LA eng UL http://jsri.srtc.ac.ir/article-1-65-en.html M3 10.18869/acadpub.jsri.9.1.11 ER -