This paper presents an imprecise predictive inference method for accelerated life testing. The method is largely nonparametric, with a basic parametric function to link different stress levels. The log-rank test is used to provide imprecision for the link function parameter, which in turn provides robustness in the resulting lower and upper survival functions for a future observation at the normal stress level. An application using data from the literature is presented, and simulations show the performance and robustness of the method. In case of model misspecification, robustness may be achieved at the price of large imprecision, which would emphasize the need for more data or further model assumptions.

本文提出了一种用于加速寿命测试的不精确的预测推理方法。该方法主要是非参数的，具有基本的参数功能来链接不同的应力水平。对数秩检验用于提供链接功能参数的不精确性，进而为最终的较低和较高的生存函数提供了鲁棒性，以便将来在法向应力水平下进行观察。提出了一个使用文献数据的应用程序，并且仿真显示了该方法的性能和鲁棒性。在模型规格不正确的情况下，可以以较大的不精确度为代价来实现鲁棒性，这将强调需要更多数据或进一步的模型假设。