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Bayesian Predictions for Exponentially Distributed Failure Times With One Change-Point

机译：具有一个变点的指数分布失效时间的贝叶斯预测

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Y. Abdel-aty; J. Franz; M. A. W. Mahmoud;
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年度 2015
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1. Bayesian reconstruction of the missing failure times in exponential distribution [J] . B. Khatib, Jafar Ahmadi, M. Razmkhah Journal of statistical computation and simulation . 2013,第1a3期

机译：指数分布中失误次数的贝叶斯重构
2. Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting [J] . Perreault L., Bobee B., Parent E., Journal of Hydrology . 2000,第3a4期

机译：水文气象时间序列中的贝叶斯变化点分析。第2部分。变更点模型和预测的比较
3. Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting [J] . Perreault L., Bobee B., Parent E., Journal of Hydrology . 2000,第3a4期

机译：水文气象时间序列中的贝叶斯变化点分析。第2部分。变更点模型和预测的比较
4. Assessing the Performability of Computing Systems Subject to Failure and Repair Using Non-Exponentially Distributed Task Times [C] . Robert W. Rowan, Pierre M. Fiorini, Lester Lipsky International Conference on Parallel and Distributed Processing Techniques and Applications(PDPTA'03) v.3; 20030623-20030626; Las Vegas,NV; US . 2003

机译：使用非指数分布的任务时间评估遭受故障和修复的计算系统的性能
5. Developing an efficient failure prediction model in support of a distributed operating system for autonomic networks. [D] . Abed, Hesham Jondi. 2015

机译：开发有效的故障预测模型以支持自主网络的分布式操作系统。
6. Occurrence of cell division is not exponentially distributed: differences in the generation times of sister cells can be derived from the theory of survival of populations. [O] . J S Murphy, F R Landsberger, T Kikuchi, 1984

机译：细胞分裂的发生不是指数分布的：姐妹细胞的生成时间的差异可以从种群生存理论中得出。
7. Prediction of Times to Failure of Censored Units in Hybrid Censored Samples from Exponential Distribution [O] . A Asgharzadeh, R Valiollahi 2012

机译：从指数分布中预测杂交罚款样本中截取的单位失败的时间
8. An Adaptive Bayesian Scheme for Estimating Reliability Growth under Exponential Failure Times [R] . Singpurwalla, N. D. 1979

机译：指数失效时间下可靠性增长估计的自适应贝叶斯方案

Bayesian Predictions for Exponentially Distributed Failure Times With One Change-Point

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