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In this paper, we consider the constrained randomized accelerated life test modeling. The lifetime data are assumed to follow a Weibull distribution. The different failure mechanism assumption are reflected from a nonconstant shape parameter. We use the MLE to estimate parameters.
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This page is a summary of: Reliability Modeling of Accelerated Life Tests with Both Random Effects and Nonconstant Shape Parameters, Quality Engineering, June 2015, Taylor & Francis,
DOI: 10.1080/08982112.2015.1037393.
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