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Planning two or more level constant-stress accelerated life tests with competing risks

机译:计划具有竞争风险的两个或多个级别的恒压加速寿命测试

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摘要

In this article, we investigate the optimization problem when the competing risks data come from a progressive type II censoring in an accelerated life test with multiple levels of constant stress. The failure times of the individual causes are assumed to be independent and exponentially distributed with different parameters. We propose three criteria related to the Fisher's information matrix to determine the optimal stress level as well as the optimal sample allocation at each stress level. A real data set is studied to illustrate the application of the proposed criteria.
机译:在本文中,当竞争风险数据来自具有多个恒定压力水平的加速寿命测试中的渐进式II型检查时,我们将研究优化问题。假定各个原因的故障时间是独立的,并且以不同的参数呈指数分布。我们提出了三个与Fisher信息矩阵有关的准则,以确定最佳应力水平以及每个应力水平下的最佳样本分配。研究了一个真实的数据集,以说明所提出标准的应用。

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