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Unitary Owen Points in Cooperative Lot-Sizing Models with Backlogging
(MDPI, 2021-04-15)
This paper analyzes cost sharing in uncapacitated lot-sizing models with backlogging and heterogeneous costs. It is assumed that several firms participate in a consortium aiming at satisfying their demand over the planning ...
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Impact of axial spondyloarthritis on mental health in Europe: results from the EMAS study
(EULAR, 2021)
Objective To determine the presence of mental disorder risk and associated factors in European patients with axial spondyloarthritis (axSpA). Methods Data from 2,166 patients with axSpA in 12 European countries were ...
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Aplicación del muestreo sistemático en el diseño de encuestas
(Universidad de Salamanca, 2001)
La obtención de muestras utilizando el muestreo sistemático es algo que se ha llevado a cabo desde principios del siglo XX, debido a la simplicidad de su manejo. Como inconveniente, los diseños sistemáticos clásicos no son ...
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On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023-01-13)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between prediction accuracy and sparsity is sought. Whilst fitting the tree model, the detection of a reduced ...
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Homogeneity of marginal distributions for a large number of populations
(Wiley, 2023-10-03)
Assume that a random vector is observed in populations and independent samples of that random vector are available at each population. Assume that and have the same dimension. Our purpose is to test the equality ...
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Testing for proportions when data are classified into a large number of groups
(Elsevier, 2024-05-11)
When dealing with categorical data, a common concern is to check if the observed relative frequencies agree with a certain fixed vector of ideal proportions. Suppose that the population is divided into subpopulations or ...
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Testing Poissonity of a large number of populations
(Springer, 2023-09-29)
This paper studies the problem of simultaneously testing that each of k samples, coming from k count variables, were all generated by Poisson laws. The means of those populations may differ. The proposed procedure is ...
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Testing normality of a large number of populations
(Springer, 2023-02-12)
This paper studies the problem of simultaneously testing that each of k independent samples come from a normal population. The means and variances of those populations may differ. The proposed procedures are based on the ...
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Detecting relevant variables and interactions in supervised classification
(Elsevier, 2011-08-16)
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification ...
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Clustering categories in support vector machines
(Elsevier, 2016-02)
The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster Support Vector Machine (CLSVM) methodology is proposed with the aim to increase the sparsity of the SVM ...