Chapter
Apr 26, 2012
Developments on Stochastic Analysis, Modeling, and Simulation (SAMS 2009)
Authors: J. D. Salas address: [email protected], O. Sveinsson, T. S. Lee, W. Lane, and D. Frevert address: [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
Abstract
Stochastic Analysis Modeling and Simulation (SAMS) is a software where stochastic techniques are utilized for simulating synthetic water resources data such as monthly streamflows. The current version, SAMS 2007, includes alternative modeling approaches and data analysis features. The stochastic models included in SAMS 2007 are parametric models such as multivariate autoregressive and disaggregation linear models. SAMS 2009 is now available. Various alternatives and options have been added particularly nonparametric techniques. The main purpose of this paper is to summarize the capabilities of SAMS 2009.
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Copyright
© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Autoregressive models
- Computer programming
- Computer software
- Computing in civil engineering
- Data analysis
- Engineering fundamentals
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Mathematics
- Methodology (by type)
- Models (by type)
- Parameters (statistics)
- Probability
- Research methods (by type)
- Simulation models
- Statistics
- Stochastic processes
- Water and water resources
- Water management
- Water policy
- Water resources
Authors
Affiliations
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80523.E-mail: address: [email protected]
O. Sveinsson
Director of Research, Electric Power Company, Iceland.
T. S. Lee
Institute National de la Research Scientifique, Eau Tarre Environment, 490 Rue de Couronne Quebec, QC G1K 9A9, Canada.
W. Lane
Consulting Engineer, Golden, CO
Retired, Bureau of Reclamation, Lakewood, CO. E-mail: address: [email protected]
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