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Exponential Superimposed Renewal Processes

机译:指数叠加更新过程

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Superimposed renewal processes arise when the events from multiple renewal processes and all labels, which allow us to identify where they have come from, are missing. In reliability engineering, individual renewal processes are stochastic failure time models for components, and the superimposed renewal process from them is the model for the system failure times. Labels are the identity information of individual failures, such as the serial number of the failed component, or the most recent failure time. When these labels are missing, it is challenging to conduct statistical inference on renewal processes because of the loss of information on identities. Recently a likelihood-based method is proposed under the assumption that all renewal processes under a superimposed process are homogeneous. This paper discusses the argument used in the method and tries to extend it for heterogeneous cases.
机译:当来自多个更新过程和所有标签的事件(使我们能够确定它们来自何处)丢失时,就会出现叠加的更新过程。在可靠性工程中,单个更新过程是组件的随机故障时间模型,而来自它们的叠加更新过程是系统故障时间的模型。标签是各个故障的标识信息,例如故障组件的序列号或最近的故障时间。当缺少这些标签时,由于丢失了身份信息,因此很难对更新过程进行统计推断。最近,在假定叠加过程下的所有更新过程都是同质的假设下,提出了一种基于似然性的方法。本文讨论了该方法中使用的参数,并尝试将其扩展到异构情况。

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