MI Bhatti, HQ Do - International Journal of Hydrogen Energy, 2019 - Elsevier
In recent years, copula models are being used in all areas of human endeavors including energy, environment, social, natural and physical sciences. Copulas are the most powerful …
This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out …
Traditional flood hazard analyses often rely on univariate probability distributions; however, in many coastal catchments, flooding is the result of complex hydrodynamic interactions …
Multivariate descriptions of ocean parameters are quite important for the design and risk assessment of offshore engineering applications. A reliable and realistic statistical …
For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate …
Copulas have enjoyed increased usage in many areas of econometrics, including applications with discrete outcomes. However, Genest and Nešlehová (2007) present …
F Li, J Zhou, C Liu - Coastal Engineering, 2018 - Elsevier
Coastal risk assessment and structure design heavily rely on the statistical analysis of the extreme wave climate, such as the wave height, storm duration, wave period and surge …
Abstract The Nonparametric Multivariate Standardized Drought Index (NMSDI) based on precipitation and soil moisture data in conjunction with copula functions is of primary …
Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate …