On The Design Of Accelerated Life Testing Experiments

This paper considers the design of constant stress accelerated life testing experiments, using a recently outlined framework based on various classes of stress-parameter models. For brevity, we focus on the two parameter Weibull distribution, and the use of likelihood-based estimation techniques. We present formulae useful in various numerical methods, and discuss the role of the Fisher information in the design of experiments. We also present an illustrative example of experimental design, and briefly discuss the validation of proposed designs by stochastic simulation.