Statistical Properties of SEE Rate Calculation in the Limits of Large and Small Event Counts

We develop a maximum likelihood method for bounding single-event effect (SEE) rates at a particular confidence level. The method is useful for test planning, reliability estimates and investigating rare SEE modes and part-to-part and lot-to-lot variability.