mquesada

[:es]Laureano F. Escudero (Rey Juan Carlos University), Juan Francisco Monge (University Miguel Hernández of Elche) and Dolores Romero Morales (Copenhagen Business School).
Abstract. In this work a modeling framework and a solution approach have been presented for a multi-period stochastic mixed 0–1 problem arising in tactical supply chain planning (TSCP). A multistage scenario tree based scheme is used to represent the parameters’ uncertainty […]

[:es]María Josefa Cánovas (University Miguel Hernandez of Elche), René Henrion (University Humboldt of Berlin), Marco Antonio López (University of Alicante) and Juan Parra (University Miguel Hernández of Elche).
Abstract. The present paper deals with uncertain linear inequality systems viewed as nonempty closed coefficient sets in the (n + 1)-dimensional Euclidean space. The perturbation size of these uncertainty sets is measured by the […]

[:es]Juan Carlos Ferrando (University Miguel Hernandez of Elche) and Jerzy Kąkol (University Adam Mickiewicz of Poznań).
Abstract. Motivated by the density condition in the sense of Heinrich for Fréchet spaces and by some results of Schlüchtermann and Wheeler for Banach spaces, we characterize in terms of certain weakly compact resolutions those Fréchet spaces enjoying the property that each bounded subset of […]

[:es]María Dolores Esteban (University Miguel Hernandez of Elche), Domingo Morales (University Miguel Hernandez of Elche) and María del Mar Rueda (University of Granada).
Abstract. This paper introduces estimators of domain means assisted by nested error regression models. The new estimators are modifications of empirical best linear unbiased predictors that takes into account the sampling weights. They are obtained by summing up the […]