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Decision analysis: vector optimization theory
(Real Academia de Ciencias Exactas, Físicas y Naturales, 1999)
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On sparse optimal regression trees
(Elsevier, 2021-12-18)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between prediction accuracy and both types of sparsity, namely local and global, is sought. Our approach can ...
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Solving nonconvex planar location problems by nite dominating sets
(Springer, 2000-10)
It is well-known that some of the classical location problems with polyhedral gauges can be solved in polynomial time by nding a fi nite dominating set, i.e. a finite set of candidates guaranteed to contain at least one ...
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Pareto-Optimality in Linear Regression
(Academic Press Inc. Elsevier Science, 2002-05-25)
In this paper the linear regression problem is studied in the context of vector optimization theory. The set of Pareto-optimal solutions is represented as the set of optimal solutions to certain optimization problems, and ...
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The Power Muth Distribution
(Vilnius Gediminas Technical University, 2017-03-01)
Muth introduced a probability distribution with application in relia-bility theory. We propose a new model from the Muth law. This paper studies itsstatistical properties, such as the computation of the moments, ...
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Criterio para detectar outliers en poblaciones normales bivarientes
(Springer, 1984-01-01)
Damos un procedimiento de detecci6n de outliers para muestras procedentes de poblaciones normales bivariantes, que viene dado por el cuadrado de la distancia entre matrices de sumas de cuadrados y sumas de productos de ...
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A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions
(PERGAMON-ELSEVIER SCIENCE LTD, 2013-10-30)
The double Pareto Lognormal(dPlN) statistical distribution, defined interms of both an exponentiated skewed Laplace distribution and alog normal distribution, has proven suitable for fitting heavy tailed data. In this ...
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Optimality and duality on Riemannian manifolds
(Mathematical Society of the Republic of China, 2018-10)
Our goal in this paper is to translate results on function classes that are characterized by the property that all the Karush-Kuhn-Tucker points are efficient solutions, obtained in Euclidean spaces to Riemannian manifolds. ...
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Multiple Ordinal Correlation Based on Kendall’s Tau Measure : a Proposal
(MDPI, 2021)
The joint analysis of various ordinal variables is necessary in many experimental studies within research fields such as sociology and psychology. Therefore, the necessary measures of multiple ordinal dependence must be ...
Artículo
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Central regions for bivariate distributions
(Österreichische Statistische Gesellschaft, 2002)
For a one-dimensional probability distribution, the classical concept of central region as a real interquantile interval arises in all applied sciences. We can find applications, for instance, with dispersion, skewness ...