DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling

• Main Authors: Abrahart, Robert J., Mount, Nick J., Ngahzaifa, Ab. Ghani, Clifford, Nicholas J., Dawson, Christian W.
• Format: Article
• Language: English
• Published: Elsevier B.V. 2011
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/25742/1/DAMP-%20A%20protocol%20for%20contextualising%20goodness-of-fit%20statistics%20in%20sediment-discharge.pdf; http://umpir.ump.edu.my/id/eprint/25742/; https://doi.org/10.1016/j.jhydrol.2011.08.054; https://doi.org/10.1016/j.jhydrol.2011.08.054
• Institution: Universiti Malaysia Pahang

The decision sequence which guides the selection of a preferred data-driven modelling solution is usually based solely on statistical assessment of fit to a test dataset, and lacks the incorporation of essential contextual knowledge and understanding included in the evaluation of conventional empiri...