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Zaragozí, B., Rodríguez-Sala, J.J., Trilles, S., Ramón-Morte, A. (2021) «Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling», 6th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2020, Communications in Computer and Information Science, 1411:85–101

Benito Zaragozí (Departament de Geografia, Universitat Rovira i Virgili), Jesús Javier Rodríguez (Operations Research Center, University Miguel Hernández of Elche), Sergio Trilles(Institute of New Imaging Technologies, Universitat Jaume I) and Alfredo Ramón (Instituto Interuniversitario de Geografia, Universidad de Alicante)
Abstract: Land use and land cover (LULC) information is essential in territorial planning for the study of […]

Orenes, Y., Rabasa, A., Rodriguez-Sala, J.J., Sanchez-Soriano, J. (2021) «Benchmarking analysis of the accuracy of classification methods related to entropy», Entropy, 23 (7):850

Yolando Orenes, Alejandro Rabasa, Jesús Javier Rodríguez and Joaquín Sánchez (Operations Research Center, University Miguel Hernández of Elche) 
Abstract: In the machine learning literature we can find numerous methods to solve classification problems. We propose two new performance measures to analyze such methods. These measures are defined by using the concept of proportional reduction of classification […]

Mollá-Campello, N., Polotskaya, K., Sobrino, E., Navarro, T., Rabasa, A. (2021) «Social Vulnerability Segmentation Methodology Based on Key Performance Indicators», World Conference on Information Systems and Technologies, WorldCIST 2021, Advances in Intelligent Systems and Computing, 1366 AISC, 315–323

Nuria Mollá, Kristina Polotskaya, Esther Sobrino, Alejandro Rabasa (Operations Research Center, University Miguel Hernández of Elche) and Teresa Navarro (Red Cross Spain – Valencian Community)
Abstract: Detecting social vulnerability is a complex process that involves many personal and environmental factors to take into account. In this paper, a new methodology is proposed to detect which individuals […]

Esteve, M., Mollá-Campello, N., Rodríguez-Sala, J.J., Rabasa, A. (2021) «The Effects of Abrupt Changing Data in CART Inference Models», World Conference on Information Systems and Technologies, WorldCIST 2021, Advances in Intelligent Systems and Computing, 1366 AISC, 214–223

Miriam Esteve, Nuria Mollá, Jesús Javier Rodríguez and Alejandro Rabasa (Operations Research Center, University Miguel Hernández of Elche)
Abstract: The continuous input of data into an Information System makes it difficult to generate a reliable model when this stream changes unpredictably. This continuous and unexpected change of data, known as concept drift, is faced by different […]

Belmonte-Martin, I., Ortiz, L., Polo, C. (2021) «Local tax management in Spain: A study of the conditional efficiency of provincial tax agencies», Socio-Economic Planning Sciences, 101057

Irene Belmonte Martín (Department of Social and Human Sciences, Miguel Hernandez University of Elche), Lidia Ortiz (Operations Research Center, University Miguel Hernández of Elche) and Cristina Polo (Department of Economics, University of Extremadura)
Abstract: This paper reports an efficiency analysis of local tax management by provincial tax agencies in Spain based on supramunicipal delegation. To conduct […]

Burgard, J.P., Krause, J., Kreber, D., Morales, D. (2021) «The generalized equivalence of regularization and min–max robustification in linear mixed models», Statistical Papers, 62 (6):2857–2883

Jan Pablo Burgard, Joscha Krause (Department of Economic and Social Statistics, Trier University), Dennis Kreber (Department of Operations Research, Trier University) and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche)
Abstract: The connection between regularization and min–max robustification in the presence of unobservable covariate measurement errors in linear mixed models is addressed. We prove […]

Fúquene-Patiño, J., Cristancho, C., Ospina, M., Gonzalez, D.M. (2021) «Fay-Herriot Model-Based Prediction Alternatives for Estimating Households with Emigrated Members», Journal of Official Statistics, 37 (3):771–789

Jairo Alberto Fúquene-Patiño (UC Davis, Department of Statistics, Davis), César Cristancho, Mariana Ospina (National Department of Statistics, Population Projections Division, Bogota) and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche)
Abstract: This article proposes a new methodology for estimating the proportions of households that had experience of international migration at the municipal level in […]

Guadarrama, M., Morales, D., Molina, I. (2021) “Time stable empirical best predictors under a unit-level model”, Computational Statistics and Data Analysis, 160:107226

María Guadarrama (Luxembourg Institute of Socio-Economic Research (LISER)), Domingo Morales (Operations Research Center, University Miguel Hernández of Elche) and Isabel Molina (Department of Statistics, Universidad Carlos III de Madrid)
Abstract: Comparability as well as stability over time are highly desirable properties of regularly published statistics, specially when they are related to important issues such as people’s […]

Benavent, R., Morales, D. (2021) “Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects”, Statistical Methods and Applications, 30 (1):195–222

Roberto Benavent and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche) and 
Abstract: This paper introduces a temporal bivariate area-level linear mixed model with independent time effects for estimating small area socioeconomic indicators. The model is fitted by using the residual maximum likelihood method.Empirical best linear unbiased predictors of these indicators are derived. An […]