Copula-based mixed models for bivariate rainfall data: an empirical study in regression perspective

DOI10.1007/s00477-008-0249-zzbMath1411.62345OpenAlexW2170351006MaRDI QIDQ1741106

Francesco Serinaldi

Publication date: 3 May 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-008-0249-z

zbMATH Keywords

regressiontime scalezero-inflated datarainfall2-copulabivariate mixed modelinter-gauge distance

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Applications of statistics to environmental and related topics (62P12) Statistics of extreme values; tail inference (62G32)

Cites Work

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• Goodness-of-fit tests for copulas: A review and a power study
• The meta-elliptical distributions with given marginals
• Validity of the parametric bootstrap for goodness-of-fit testing in semiparametric models
• An introduction to copulas.
• Effect of zero measurements on the spatial correlation structure of rainfall
• Estimating the tail-dependence coefficient: properties and pitfalls
• Non-parametric Estimation of Tail Dependence
• A nonparametric estimation procedure for bivariate extreme value copulas
• Dependence measures for extreme value analyses

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