Abstract
This paper deals with the evaluation of statistical methods for assessing product reliability from degradation data. The evaluation is based on a simulation study. Benefits of assessing reliability from degradation data over censored failure time data are demonstrated using data from the first simulation run. Bias, precision and coverage probability calculated from the 105 simulated samples are the performance measures used in the evaluation. Analysis of a real gallium arsenide (GaAs) laser data set for telecommunication systems emphasizes the practical advantages of assessing reliability from degradation data.
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