Print Email Facebook Twitter Quantile hydrologic model selection and model structure deficiency assessment: 1. Theory Title Quantile hydrologic model selection and model structure deficiency assessment: 1. Theory Author Pande, S. Faculty Civil Engineering and Geosciences Department Water Management Date 2013-09-13 Abstract A theory for quantile based hydrologic model selection and model structure deficiency assessment is presented. The paper demonstrates that the degree to which a model selection problem is constrained by the model structure (measured by the Lagrange multipliers of the constraints) quantifies structural deficiency. This leads to a formal definition of model structure deficiency (or rigidity). Model structure deficiency introduces a bias in the prediction of an observed quantile, which is often not equal across quantiles. Structure deficiency is therefore diagnosed when any two quantile predictions for a given model structure cross since unequal bias across quantiles result in quantile predictions crossing. The analysis further suggests that the optimal value of quantile specific loss functions order different model structures by its structure deficiencies over a range of quantiles. In addition to such novelties, quantile hydrologic model selection is a frequentist approach that seeks to complement existing Bayesian approaches to hydrological model uncertainty. Subject model structure deficiencyquantile model selectionuncertainty To reference this document use: http://resolver.tudelft.nl/uuid:9154bcc6-4e38-48c1-a74a-635ff064eccc DOI https://doi.org/10.1002/wrcr.20411 Publisher American Geophysical Union Embargo date 2014-03-13 ISSN 0043-1397 Source Water Resources Research, 49 (9), 2013 Part of collection Institutional Repository Document type journal article Rights © 2013 American Geophysical Union Files PDF Pande_2013.pdf 2.51 MB Close viewer /islandora/object/uuid:9154bcc6-4e38-48c1-a74a-635ff064eccc/datastream/OBJ/view