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Quantifying similarity in reliability surfaces using the probability of agreement

机译：使用协议概率量化可靠性表面中的相似性

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Though lot of literature is available on reliability, they are on modeling product lifetimes and degradation. Not many studies are available on comparison of product reliabilities across different populations. Whether populations with similar characteristics can be combined is of practical importance. Equivalence testing and hypothesis testing based approaches are available for comparison of static populations. Hypothesis testing starts with the assumption that the populations are equivalent unless it is found otherwise. Equivalence testing is based on the assumption that the populations are different unless it is proved contrary. Comparison of drugs in pharmaceutical treatments and comparison of measurement systems are practical situations where comparison of populations are needed. For comparing population reliabilities, Stevens and Anderson-Cook (Ref. 1) adapt the probability of agreement (PA) used for assessing reliability. This is proposed as an alternative to hypothesis testing. In order to compare reliability depending on age and usage in two populations it is necessary to quantify the similarity. An advantage of PA compared to hypothesis testing is that the former depends on user-specified acceptable tolerances. This study extends the PA approach and proposes new graphical summaries for the purpose of comparison.
机译：虽然许多文献可用于可靠性，但它们正在造型产品寿命和降解。没有许多研究可以在不同群体中的产品可靠性比较。是否可以组合具有类似特征的人群是实际重要性的。基于等效测试和假设检测可用于比较静态人群。假设检测从假设开始，除非另有发现，否则群体是等同的。等效测试基于群体不同的假设，除非它被证明是相反的。药物治疗中药物的比较和测量系统的比较是需要比较群体的实际情况。为了比较人口可靠性，史蒂文斯和安德森 - 库克（参考文献1）适应用于评估可靠性的协议（PA）的可能性。这提出了假设检测的替代方案。为了比较可靠性，根据两个群体的年龄和用法，有必要量化相似性。与假设检测相比PA的一个优点是前者取决于用户指定的可接受公差。本研究扩展了PA方法，提出了新的图形摘要，以便进行比较。

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