Scientific articles
Esteban, M.D., Lombardía, M.J., López-Vizcaíno, E., Morales, D., Pérez, A., (2022) «Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model», Journal of Applied Statistics, 49 (1):143–168
María Dolores Esteban, Domingo Morales (Operations Research Center, University Miguel Hernández of Elche), María José Lombardía (CITIC, Universidade da Coruña), María Esther López-Vizcaíno (Instituto Galego de Estatística, Santiago de Compostela) and Agustín Pérez (Departments of Economic and Financial Studies, University Miguel Hernández of Elche)
Abstract: Under a unit-level bivariate linear mixed model, this paper introduces small […]
Scientific articles
Zhu, Q., Aparicio, J., Li, F., Wu, J., Kou, G. (2022) «Determining closest targets on the extended facet production possibility set in data envelopment analysis: Modeling and computational aspects», European Journal of Operational Research, 296 (3):927–939
Qingyuan Zhu (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing), Juan Aparicio (University Miguel Hernández of Elche), Feng Li (Southwestern University of Finance and Economics, Chengdu), Jie Wu and Gang Kou (School of Management, University of Science and Technology of China, Hefei)
Abstract: Within the framework of data envelopment analysis (DEA) methodology, the […]
Scientific articles
Amigó, J.M., Dale, R., Tempesta, P. (2022) «Complexity-based permutation entropies: From deterministic time series to white noise», Communications in Nonlinear Science and Numerical Simulation, 105:106077
José María Amigó, Roberto Dale (University Miguel Hernández of Elche) and Piergiulio Tempesta (Departamento de Física Teórica, Facultad de Ciencias Físicas, Universidad Complutense de Madrid)
Abstract: This is a paper in the intersection of time series analysis and complexity theory that presents new results on permutation complexity in general and permutation entropy in particular. In this context, […]
Congresos CIO 2020
PREDICCIÓN Y MODELIZACIÓN BAJO INCERTIDUMBRE: APLICACIONES EN SALUD Y ECONOMÍA
“PREDICCIÓN Y MODELIZACIÓN BAJO INCERTIDUMBRE: APLICACIONES EN SALUD Y ECONOMÍA”Actividad financiada por la conselleria d’Innovació, Universitats, Ciència i Societat Digital a trvavés de la ayuda PROMETEO/2021/063
Este encuentro tiene como objetivo proporcionar un foro para el intercambio de ideas entre investigadores de diferentes campos en Estadística y Economía. Se pretenden presentar diversas metodologías estadísticas para el […]