Moreira, E.M., Valero, J. (2022) «Structure of the attractor for a non-local Chafee-Infante problem», Journal of Mathematical Analysis and Applications, 507 (2):125801

Estefani M. Moreira (Instituto de Ciências Matemáticas e de Computaçao, Universidade de São Paulo)  and José Valero (Centro de Investigación Operativa, Universidad Miguel Hernandez de Elche)
Abstract: In this article, we study the structure of the global attractor for a non-local one-dimensional quasilinear problem. The strong relation of our problem with a non-local version of the […]

Ena, J., Segura-Heras, J.V., Fonseca-Aizpuru, E.M., López-Reboiro M.L., Gracia-Gutiérrez A., Martín-Oterino J.A., Martín-Urda Diez-Canseco A., Pérez-García C., Ramos-Rincón, J.M., Gómez-Huelgas, R. (2022) «Derivation and validation of a risk score for admission to the Intensive Care Unit in patients with COVID-19 | Derivación y validación de una puntuación de riesgo de ingreso en la Unidad de Cuidados Intensivos para pacientes con COVID-19», Revista Clínica Española, 222 (1):1–12

Javier Ena (Servicio de Medicina Interna. Hospital Marina Baixa, Alicante), José Vicente Segura (Operations Research Center, Miguel Hernandez University, Elche), Eva María Fonseca (Servicio de Medicina Interna. Hospital de Cabueñes, Gijón), Manuel Lorenzo López (Servicio de Medicina Interna. Hospital Público de Monforte de Lemos, Lugo), Anyuli Gracia (Servicio de Medicina Interna. Hospital General Defensa, Zaragoza), […]

Ruiz, J.L., Sirvent, I., (2022) "Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis", International Transactions in Operational Research, 29 (3):1749–1768

José Luis Ruiz and Inmaculada Sirvent (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Setting the closest targets is an appropriate approach for planning. Closest targets minimize the gap between actual performances and best practices, so they are the ones that require the least effort from organizations for their achievement. However, this paper shows that, […]

Ruiz, J.L., Sirvent, I. (2022) «Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances», International Transactions in Operational Research, 29 (1): 554–573

José Luis Ruiz and Inmaculada Sirvent (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Data envelopment analysis (DEA) is widely used as a benchmarking tool for improving performance of organizations. For that purpose, DEA analyses provide information on both target setting and peer identification. However, the identification of peers is actually a by-product of DEA. […]

Mollá, N., Rabasa, A., Rodríguez-Sala, J.J., Sánchez-Soriano, J., Ferrándiz, A. (2022) «Incremental decision rules algorithm: A probabilistic and dynamic approach to decisional data stream problems», Mathematics, 10(1):16

Nuria Mollá, Antonio Ferrándiz (Teralco Solutions Ltd., Elche), Alejandro Rabasa, Jesús Javier Rodríguez, Joaquín Sánchez (Operations Research Center, University Miguel Hernández of Elche) 
Abstract: Data science is currently one of the most promising fields used to support the decision-making process. Particularly, data streams can give these supportive systems an updated base of knowledge that allows experts […]

Krause, J., Burgard, J.P., Morales, D. (2022) «Robust prediction of domain compositions from uncertain data using isometric logratio transformations in a penalized multivariate Fay–Herriot model», Statistica Neerlandica, 76 (1):65–96

Joscha Krause, Jan Pablo Burgard (Department of Economic and Social Statistics, Trier University) and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Assessing regional population compositions is an important task in many research fields. Small area estimation with generalized linear mixed models marks a powerful tool for this purpose. However, the method has […]