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Analysis of accelerated degradation test under constant stress with errors for longitudinal data

机译:在恒应力下具有纵向数据误差的加速降解试验分析

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In industrial statistics, the degradation test is regularly used in the analysis of product reliability. This paper is focused on the modeling of accelerated degradation test with longitudinal observation under constant stresses with Berkson-type measurement errors, and suggests the minimum distance estimator for the parameters in the model. The consistency and asymptotic normality of the estimator are obtained, and the performance of the estimator for moderate sample sizes is shown by simulation.
机译:在工业统计中,通常在产品可靠性分析中使用降级测试。本文着重于在恒定应力下具有Berkson型测量误差的纵向观察下的加速降解试验建模,并提出模型中参数的最小距离估计量。获得了估计量的一致性和渐近正态性,并通过仿真显示了适度样本量时估计量的性能。

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