Guidelines 13 and 14—Prediction uncertainty

Mary C. Hill; Claire R. Tiedeman

doi:10.1002/9780470041086.ch14

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Guidelines 13 and 14—Prediction uncertainty

Mary C. Hill·Claire R. Tiedeman

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Abstract

An advantage of using optimization for model development and calibration is that optimization provides methods for evaluating and quantifying prediction uncertainty. Both deterministic and statistical methods can be used. Guideline 13 discusses using regression and post-audits, which we classify as deterministic methods. Guideline 14 discusses inferential statistics and Monte Carlo methods, which we classify as statistical methods.

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Mary C. Hill, Claire R. Tiedeman. 2005-12-19. Guidelines 13 and 14—Prediction uncertainty. https://doi.org/10.1002/9780470041086.ch14

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