Analysis of Hydrological Variables using COPULA Models
AKSHAY KUMAR
Department of Water Resources Engineering, Punjab Engineering College, Chandigarh, India , IN
Keywords: Copula, Dependent structures, Hydrology, Marginal and joint distributions, Bivariate copula
Abstract
For some last decades, copula functions are being widely used in many areas of human interest including environment, energy, risk management, physical and natural sciences. Copula functions are considered to be the strongest methods and one of the most advanced methods than create a model between multivariate dependent variables that held dependency between each other. These functions combined number of different variables possessing different types of cumulative distribution functions. To establish more effective results for joint distribution best fit copula function for two dependent variables can be computed. In country like India, usage of copula functions are still not popular in the field of hydrology. In this review paper, we mainly focused on the growth of copula
functions and their advancement in the areas of hydrological field. This review paper based on the applications of bivariate copula function by reviewing some of very important literatures based on copula function.
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