Accelerated testing allows experimenters to increase stress levels to obtain information on the lifetimes of experimental units more quickly than under normal operating conditions. In step-stress tests, the stress levels can be increased at fixed times during the experiment. A simple step-stress model under Type-II censoring is discussed in which the maximum likelihood estimators of the parameters are derived assuming a cumulative exposure model with lifetimes being exponentially distributed. Confidence intervals for the parameters are also derived and their performance assessed through a Monte Carlo simulation.
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