American Society of Civil Engineers


Some Results and Recommendations on Bivariate Frequency Modeling in Hydrology


by F. Ashkar, (Department of Mathematics and Statistics, Université de Moncton, Moncton, N.B., Canada, E1A 3E9 E-mail: ashkarf@umoncton.ca)
Section: Using Bivariate and Multivariate Distributions for Flood Frequency Analysis, pp. 1-9, (doi:  http://dx.doi.org/10.1061/40976(316)617)

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Conference Proceeding Paper
Part of: 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.


ASCE Subject Headings:
Frequency analysis
Hydrology
South Korea
Statistics