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A robust approach to QMU, validation, and conservative prediction

Segalman, Daniel J.; Bauman, Lara E.

A systematic approach to defining margin in a manner that incorporates statistical information and accommodates data uncertainty, but does not require assumptions about specific forms of the tails of distributions is developed. This approach extends to calculations underlying validation assessment and quantitatively conservative predictions.