Water and Sewage
Abstract In previous chapters, we have mainly discussed copula models for bivariate/multivariate random variables. Now we ask two other questions that usually arise in hydrology and water resources engineering. Can…
Abstract Similar to the Archimedean copulas, the non-Archimedean copulas can be classified as one-parameter non-Archimedean bivariate copulas, two-parameter non-Archimedean bivariate copulas, and multivariate (d ≥ 3)d≥3) non-Archimedean copulas. In recent years, successful…
Abstract In previous chapters, we have discussed the Archimedean and non-Archimedean copula families. In this chapter, we will introduce entropic copulas. To be more specific, we will concentrate on the…
Abstract Symmetric Archimedean copulas are widely applied for hydrologic analyses for the following reasons: (1) they can be easily constructed with the given generating function; (2) a large variety of…
Abstract The term copula is derived from the Latin verb copulare, meaning “to join together.” In the statistics literature, the idea of a copula can be dated back to the…
Abstract Bivariate or multivariate frequency analysis entails univariate distributions that are determined by empirical fitting to data. The fitting, in turn, requires the determination of distribution parameters and the assessment…
Abstract This chapter briefly reviews the development of the copula theory and its applications in the field of water resources engineering (flood, drought, rainfall, groundwater, etc.). It points out the…