The Guide to Statistical Analysis of Accelerated Operating Life Data provides statistical methods for analyzing accelerated life test data. These methods are useful for predicting the service life of materials at stresses higher than the actual conditions of use. The Guide presents two main acceleration models: the Arrhenius model and the Eyling model, which are applicable to the case of a single stress variable and multiple stress variables, respectively. Weibull life distributions are also emphasized and used in conjunction with the Guide G166. The Guide also states that analysis of accelerated test data can be affected by measurement errors and failure modes, so choosing an appropriate model and understanding its limitations is critical to the effectiveness of predictions.
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