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

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.