Point Prediction for the Proportional Hazards Family under Progressive Type-II Censoring

نویسندگان
Asgharzadeh, Akbar ID 1
Valiollahi, Reza ID 2

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doi
چکیده

In this paper, we discuss di erent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte Carlo simulation study are presented to illustrate all the prediction methods discussed in this paper.

کلیدواژه‌ها
Bayesian point predictor, best unbiased predictor, conditional median predictor, maximum likelihood predictor, Monte Carlo simu- lation, progressive Type-II censoring, proportional hazard rate model