Guidelines 13 and 14—Prediction uncertainty
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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.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Guidelines 13 and 14—Prediction uncertainty |
| DOI | 10.1002/9780470041086.ch14 |
| Year Published | 2005 |
| Language | English |
| Publisher | Wiley & Sons |
| Contributing office(s) | Office of Groundwater |
| Description | 8 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Handbook |
| Larger Work Title | Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty |
| First page | 337 |
| Last page | 344 |
| Google Analytic Metrics | Metrics page |