Results 21 to 30 of about 1,270,069 (328)

Model uncertainty – parameter uncertainty versus conceptual models

Water Science and Technology, 2005
Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
A L, Højberg, J C, Refsgaard
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Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization

Hydrology Research, 2023
Many hydrological applications employ conceptual-lumped models to support water resource management techniques. This study aims to evaluate the workability of applying a daily time-step conceptual-lumped model, HYdrological MODel (HYMOD), to the ...
Rodric Mérimé Nonki, Ernest Amoussou, André Lenouo, Raphael Muamba Tshimanga, Constant Houndenou   +4 more
doaj   +1 more source

The parameter uncertainty inflation fallacy [PDF]

The Journal of Chemical Physics, 2017
Statistical estimation of the prediction uncertainty of physical models is typically hindered by the inadequacy of these models due to various approximations they are built upon. The prediction errors caused by model inadequacy can be handled either by correcting the model’s results or by adapting the model’s parameter uncertainty to generate ...
openaire   +3 more sources

Towards an effective application of parameter estimation and uncertainty analysis to mathematical groundwater models

SN Applied Sciences, 2022
Article highlights We review the theoretical background that supports parameter estimation and uncertainty analysis techniques applied to groundwater models.
Paulo A. Herrera, Miguel Angel Marazuela, Giovanni Formentin, Thilo Hofmann   +3 more
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Analysis of parameter uncertainty in SWAT model using a Bayesian Box–Cox transformation three-level factorial analysis method: a case of Naryn River Basin

Journal of Water and Climate Change, 2023
Hydrological models are often plagued by substantial uncertainties in model parameters when analyzing water balance, predicting long-time streamflow, and investigating climate-change impact in watershed management.
C. Chen, Y. P. Li, P. P. Gao, G. H. Huang, J. Liu, J. S. Wu   +5 more
doaj   +1 more source

Modeling the Dynamics of Multispecies Fisheries: A Case Study in the Coastal Water of North Yellow Sea, China

Frontiers in Marine Science, 2020
Ecosystem models have been developed for detecting community responses to fishing pressure and have been widely applied to predict the ecological effects of fisheries management.
Jia Wo, Chongliang Zhang, Xindong Pan, Binduo Xu, Ying Xue, Yiping Ren, Yiping Ren   +6 more
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Learning from monitoring networks: Few-large vs. many-small plots and multi-scale analysis

Frontiers in Ecology and Evolution, 2023
In order to learn about broad scale ecological patterns, data from large-scale surveys must allow us to either estimate the correlations between the environment and an outcome and/or accurately predict ecological patterns.
Becky Tang, Renata P. Kamakura, David T. Barnett, James S. Clark   +3 more
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Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM modeling good research practices task force working group - 6 [PDF]

, 2012
A model’s purpose is to inform medical decisions and health care resource allocation. Modelers employ quantitative methods to structure the clinical, epidemiological, and economic evidence base and gain qualitative insight to assist decision makers in ...
Briggs, A.H., Fenwick, E.A.L., Karnon, J., Paltiel, A.D., Sculpher, M.J., Weinstein, M.C.   +5 more
core   +1 more source

S-parameter uncertainty computations [PDF]

23rd European Microwave Conference, 1993, 1993
A method for computing uncertainties of measured s-parameters is presented. Unlike the specification software provided with network analyzers, the new method is capable of calculating the uncertainties of arbitrary s-parameter sets and instrument settings.
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Investor’s portfolio decision: perspective of parameter uncertainty

Systems Science & Control Engineering, 2020
During the process of portfolio decision, the investor usually assumes that the distribution of asset return is known in order to identify the optimal investment strategy.
Bei Tu, Chaolin He
doaj   +1 more source