Chapter
Apr 26, 2012
Some Results and Recommendations on Bivariate Frequency Modeling in Hydrology
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
This paper deals with bivariate hydrological frequency modeling, which allows the study of two dependent hydrological variables X1 and X2, the marginal distributions of which are generally non symmetrical and do not belong to the same distribution family. The first type of bivariate models we consider is "copula-based", another is derived from "classical families of bivariate distributions" through variable transformation. We provide information on the joint, conditional and marginal distributions that are obtainable from these two types of bivariate models. We also consider parameter estimation and give graphical and numerical diagnostic tools for assessing the adequacy of a bivariate model and for choosing among different bivariate models. The analysis of a hydrological data set demonstrates how the proposed methodologies are implemented in practice.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Data analysis
- Decision making
- Decision support systems
- Engineering fundamentals
- Flood frequency
- Floods
- Frequency distribution
- Hydrologic data
- Hydrologic engineering
- Hydrologic models
- Hydrology
- Mathematics
- Methodology (by type)
- Models (by type)
- Numerical models
- Practice and Profession
- Research methods (by type)
- Statistics
- Water and water resources
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Department of Mathematics and Statistics, Université de Moncton, Moncton, N.B., Canada, E1A 3E9. E-mail: [email protected]
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