Abstract
We develop methods for bounding part-to-part variation in total ionizing dose (TID) data. When used in conjunction with statistical radiation environment models, these methods allow development of RHA that deliver estimated piece part reliability for any desired confidence level (CL), moving beyond risk avoidance methodologies based on a radiation design margin. Two methods are developed, and their results compared for realistic data.
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