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首页> 外文期刊>Applied Mathematical Modelling >Bayesian C-optimal life testing plans under progressive type-Ⅰ interval censoring scheme
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Bayesian C-optimal life testing plans under progressive type-Ⅰ interval censoring scheme

机译:渐进式Ⅰ型间隔检查方案下的贝叶斯C最优寿命测试计划

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摘要

This work considers optimal planning of progressive type-I interval censoring schemes for log-location-scale family of distributions. Optimum schemes are obtained by using a Bayesian C-optimality design criterion. The C-optimality criterion is formed to attain precision in estimating a particular lifetime quantile. An algorithm is proposed to obtain the optimal censoring schemes. Optimal schemes are obtained under two different scenarios for the Weibull and log-normal models, which are two popular special cases of log-location-scale family of distributions. A sensitivity analysis is conducted to study the effect of various prior inputs on the optimal censoring schemes. Furthermore, a simulation study is undertaken to illustrate the sampling variations resulting from the optimal censoring schemes. (C) 2019 Elsevier Inc. All rights reserved.
机译:这项工作考虑对日志位置规模的分布族的渐进式I间隔检查方案的最佳计划。最佳方案是通过使用贝叶斯C最优设计准则来获得的。形成C最优准则是为了在估计特定寿命分位数时获得精度。提出了一种算法,以获得最优的检查方案。在两种不同的情况下,针对威布尔模型和对数正态模型获得了最优方案,这是对数定位尺度族分布的两种流行的特殊情况。进行敏感性分析以研究各种先前输入对最佳检查方案的影响。此外,进行了仿真研究,以说明最佳检查方案导致的采样变化。 (C)2019 Elsevier Inc.保留所有权利。

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