This paper discusses a method based on Bayes’ Theorem to estimate the probability that performance of an In-Line-Inspection tool satisfies stated sizing accuracy specifications. This leads to a new method for accepting or rejecting tool performance that is entirely different from methods based on confidence intervals.

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