Results 141 to 150 of about 4,119 (212)

Hydrological drought dynamic using copula functions and drought center migration in the Ganjiang river basin. [PDF]

Sci Rep
Liu W, Zhang J, Zhou Z, Zhu S, Liu L, Li J.   +5 more
europepmc   +1 more source

Modeling Time to Blindness of Glaucoma Patients: A Case Study at Jimma University Medical Center. [PDF]

J Res Health Sci, 2022
Gebremariam MG, Bacha RH, Demissie DK, Wolde KS, Dame KT, Akessa GM.   +5 more
europepmc   +1 more source

Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. [PDF]

BMC Public Health
Begashaw GB, Zewotir T, Fenta HM, Asmamaw MA.   +3 more
europepmc   +1 more source

Copula Geo-Additive Modeling of Anaemia and Malnutrition among Children under Five Years in Angola, Senegal, and Malawi. [PDF]

Int J Environ Res Public Health, 2022
Khulu C, Ramroop S, Habyarimana F.
europepmc   +1 more source

Copula-based models for multivariate discrete response data [PDF]

, 2013
Nikoloulopoulos, Aristidis K
core   +1 more source

Spatiotemporal imbalance of regional water shortage risk based on copulas and concentration index. [PDF]

Sci Rep
Qian T, Zhou D, Yuan Z, Li X, Xi W, Gu S, Chen J, Li X, Zhang Z, Guo Z.   +9 more
europepmc   +1 more source

Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City. [PDF]

Int J Environ Res Public Health, 2022
Xu H, Xu K, Wang T, Xue W.
europepmc   +1 more source

A spatial copula interpolation in a random field with application in air pollution data. [PDF]

Model Earth Syst Environ, 2023
Thakur D, Das I, Chakravarty S.
europepmc   +1 more source

Foundational Aspects for Incorporating Dependencies in Copula-Based Bayesian Networks Using Structured Expert Judgments, Exemplified by the Ice Sheet-Sea Level Rise Elicitation. [PDF]

Entropy (Basel)
Kurowicka D, Aspinall W, Cooke R.
europepmc   +1 more source

Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees. [PDF]

Heliyon
Şahi N KN, Sutcu M.
europepmc   +1 more source