Journal of Hydrologic Engineering · 2007 · 1.6K citations · 71 references
Natural ResourcesHydrologyWater Resources ManagementHydrologic ModelingStatistical ModelingWater Resources EngineeringDependence ModelingHydrologic AnalysisHydrologic Data AnalysisHydrological ModelingInferential StatisticsContinuous Random VariablesCopula EstimationCopula ModelsCopula-based Dependence ModelingDiscrete Random VariablesGraphical ModelsHydrological Data AnalysisMultivariate Random Variables
This paper presents an introduction to inference for copula models, based on rank methods. By working out in detail a small, fictitious numerical example, the writers exhibit the various steps involved in investigating the dependence between two random variables and in modeling it using copulas. Simple graphical tools and numerical techniques are presented for selecting an appropriate model, estimating its parameters, and checking its goodness-of-fit. A larger, realistic application of the methodology to hydrological data is then presented.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Multivariate Models and Dependence Concepts.
Trevor J. Ringrose, Harry Joe · Biometrics · 1998 · 3.5K citations
E. L. Lehmann · The Annals of Mathematical Statistics · 1966 · 1.5K citations · Full text