RT - Journal Article T1 - Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family JF - srtc-jsri YR - 2018 JO - srtc-jsri VO - 14 IS - 2 UR - http://jsri.srtc.ac.ir/article-1-269-en.html SP - 131 EP - 155 K1 - Best unbiased predictor K1 - conditional median predictor K1 - maximum likelihood predictor K1 - mean square prediction error K1 - Monte-Carlo simulation K1 - point predictor K1 - progressive hybrid censoring. AB - 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 ($MSPE$). LA eng UL http://jsri.srtc.ac.ir/article-1-269-en.html M3 10.29252/jsri.14.2.131 ER -