Point prediction for the proportional hazards family based on progressive Type-II censoring with binomial removals
عنوان مقاله: Point prediction for the proportional hazards family based on progressive Type-II censoring with binomial removals
شناسه ملی مقاله: JR_JSMTA-1-1_008
منتشر شده در در سال 1399
شناسه ملی مقاله: JR_JSMTA-1-1_008
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:
RahmatSadat Meshkat - Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran
Naeimeh Dehqani - Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran
خلاصه مقاله:
RahmatSadat Meshkat - Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran
Naeimeh Dehqani - Department of Statistics, Yazd University, ۸۹۱۷۵-۷۴۱, Yazd, Iran
In this paper, some different predictors are presented for failure times of units censored in a progressively censored sample from proportional hazard rate models, where the number of units removed at each failure time follows a binomial distribution. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are derived. Also, the Bayesian point predictors are investigated for the failure times of units with the three common loss function. Finally, a numerical example and a Monte Carlo simulation study are carried out to compare all the prediction methods discussed in this paper.
کلمات کلیدی: Bayesian point predictor, Best unbiased predictor, Binomial removal, Conditional median predictor, Maximum likelihood predictor, Monte Carlo simulation, Progressive Type-II censoring, Proportional hazard rate model
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1441873/