Bivariate rainfall and runoff analysis using entropy and copula theories

DOI10.3390/e14091784zbMath1295.28017OpenAlexW2006956838MaRDI QIDQ406168

Lan Zhang, Vijay P. Singh

Publication date: 8 September 2014

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e14091784

zbMATH Keywords

copulasprinciple of maximum entropyShannon entropyrainfallrunoffunivariate probability distribution

Mathematics Subject Classification ID

Statistics of extreme values; tail inference (62G32) Entropy and other invariants (28D20) Applications of operator theory in probability theory and statistics (47N30)

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• Goodness-of-fit tests for copulas: A review and a power study
• Derivation of bivariate probability density functions with exponential marginals
• An introduction to copulas.
• Bivariate distributions with given extreme value attractor
• Estimating the tail-dependence coefficient: properties and pitfalls
• Information Theory and Statistical Mechanics
• Goodness-of-fit Procedures for Copula Models Based on the Probability Integral Transformation
• Dependence measures for extreme value analyses

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