Obtaining lower confidence bounds on the reliability of a series system remains a problem of interest. Engineers and practitioners desire methods with good properties to obtain lower confidence bounds when only component-level binomial test data are available. With numerous methods proposed in the literature–none of which are uniformly superior–it can be an overwhelming task to select the method which best handles the scenario at hand. We develop a software tool in R (available in the “serieslcb” package) through which users can discover the methods that best suit their situation. The tool runs user-defined simulations and then ranks the best performing methods based on objective comparisons utilizing a delta coverage metric. This article outlines the methods and comparison strategy implemented in the package. It also discusses the design of the software tool and illustrates it with an example.

中文翻译：

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二项式级数系统可靠性的置信界方法的客观比较

获得串联系统可靠性的置信下限仍然是一个令人感兴趣的问题。当只有组件级二项式测试数据可用时，工程师和从业人员需要具有良好特性的方法来获得置信下限。文献中提出了许多方法——其中没有一个是统一的——选择最能处理手头场景的方法可能是一项艰巨的任务。我们在 R 中开发了一个软件工具（在“serieslcb”包中可用），用户可以通过它发现最适合他们情况的方法。该工具运行用户定义的模拟，然后基于使用增量覆盖度量的客观比较对性能最佳的方法进行排名。本文概述了包中实现的方法和比较策略。