论文标题
在竞争风险下进行一次性设备测试的功率发散方法
Power divergence approach for one-shot device testing under competing risks
论文作者
论文摘要
大多数在单发设备上的工作都假定只有一个可能导致设备故障的原因。但是，实际上，所研究的产品通常会遇到任何可能的失败原因中的任何一种。此处针对具有竞争风险的单发装置的情况开发了强大的估计器和WALD型测试。一项广泛的仿真研究说明了基于它们的基于差异的估计器和测试程序的鲁棒性。提出了一个数据驱动的过程，以选择任何给定数据集的最佳估计器，然后将其应用于生存分析的示例。
Most work on one-shot devices assume that there is only one possible cause of device failure. However, in practice, it is often the case that the products under study can experience any one of various possible causes of failure. Robust estimators and Wald-type tests are developed here for the case of one-shot devices under competing risks. An extensive simulation study illustrates the robustness of these divergence-based estimators and test procedures based on them. A data-driven procedure is proposed for choosing the optimal estimator for any given data set which is then applied to an example in the context of survival analysis.
