Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm
- 1 November 1998
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 211 (1-4), 69-85
- https://doi.org/10.1016/s0022-1694(98)00198-x
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Assessment of hydrologic parameter uncertainty and the worth of multiresponse dataWater Resources Research, 1998
- Markov chain Monte Carlo method and its applicationJournal of the Royal Statistical Society: Series D (The Statistician), 1998
- The quest for more powerful validation of conceptual catchment modelsWater Resources Research, 1997
- The future of distributed models: Model calibration and uncertainty predictionHydrological Processes, 1992
- Effective and efficient global optimization for conceptual rainfall‐runoff modelsWater Resources Research, 1992
- Parallel recursive prediction error algorithm for training layered neural networksInternational Journal of Control, 1990
- Un modèle pluie-débit journalier à trois paramètresLa Houille Blanche, 1989
- On the validity of first-order prediction limits for conceptual hydrologic modelsJournal of Hydrology, 1988
- River flow forecasting through conceptual models part I — A discussion of principlesJournal of Hydrology, 1970
- LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. SPhilosophical Transactions of the Royal Society of London, 1763