The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. Different metaheuristics have been recently proposed as a more efficient alternative, but they have ...

Multivariate lifetime data frequently arise so it is important to consider different multivariate distributions that could be used to model aging concepts. The generalization of univariate versions has two main problems. One ...

Bivariate count data arise in several different disciplines and the bivariate Poisson distribution is commonly used to model them. This paper proposes and studies a computationally convenient goodness-of-fit test for this ...

In this paper, some new properties of the upper-corrected orthant of a random vector are proved. The univariate rightspread or excess wealth function, introduced by Fernández-Ponce et al. (1996), is extended to multivariate ...

One of the most important optimality conditions to aid in solving a vector optimization problem is the first-order necessary optimality condition that generalizes the Karush-Kuhn-Tucker condition. However, to obtain the ...

La evaluación de los resultados de los grupos de investigación en función de los recursos de que disponen y la obtención de indicadores de eficiencia constituyen cuestiones de gran relevancia para el diseño de las políticas ...