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双参数指数分布型元件冷储备系统可靠性的广义近似置信限
On the Reliability of Two-parameter Exponential Distribution for Cold Standby System and Its Generalized Approximate Confidence Limits
【摘要】 利用广义近似置信限的方法和E-Bayes方法对定时截尾试验数据下冷储备系统的可靠性指标进行了估计,得到系统可靠性的广义近似置信限和E-Bayes近似置信限.蒙特卡罗方法模拟结果表明:小样本下,E-Bayes方法比广义近似置信限具有显著优势;大样本下,广义近似置信限比E-Bayes近似置信限有较大优势.
【Abstract】 In this paper, the reliability index of cold standby system under the timing truncation experimental data is evaluated by means of generalized approximate confidence limit and E-Bayes methods. Therefore, the generalized method of approximate confidence limits and the E-Bayes approximate confidence limit of the system reliability are obtained. The simulated result of Monte-carlo method indicates that E-Bayes method under small samples has significant advantages over the generalized approximate confidence limit, while under large samples the result is on the contrary.
- 【文献出处】 温州大学学报(自然科学版) ,Journal of Wenzhou University(Natural Sciences) , 编辑部邮箱 ,2015年03期
- 【分类号】O213.2
- 【被引频次】2
- 【下载频次】40