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Prediction Based onType-II Censored Coherent System Lifetime Data under a Proportional Reversed Hazard Rate Model
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نویسنده
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fallah adeleh ,asgharzadeh akbar ,ng hon keung tony
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منبع
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journal of the iranian statistical society - 2021 - دوره : 20 - شماره : 1 - صفحه:153 -181
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چکیده
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In this paper, we discuss the prediction problem based on censored coherent system lifetime data when the system structure is known and the component lifetime follows the proportional reversed hazard model. dierent point and interval predictors based on classical and bayesian approaches are derived. a numerical example is presented to illustrate the prediction methods used in this paper. monte carlo simulation study is performed to evaluate and compare the performances of dierent prediction methods.
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کلیدواژه
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Bayesian Predictor ,Best Unbiased Predictor ,Coherent System ,Conditional Median Predictor ,Maximum Likelihood Predictor ,Prediction Intervals
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آدرس
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university of mazandaran, faculty of mathematical sciences, department of statistics, Iran, university of mazandaran, faculty of mathematical sciences, department of statistics, Iran, southern methodist university, dallas, texas, department of statistical science, usa
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Authors
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